Publications #

The copyrights of published papers are transferred to publishers. Misuse of any material posted here may result in plagiarism.

+ means my current/previous student or visitor.

* means equal contribution

To appear #

Technical Report #

A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments
Ke Li, Renzhi Chen+, Xin Yao
CoRR abs/xxxx.xxxxx | October 2022
PDF | Supp | BiB

DaNuoYi: Evolutionary Multi-Task Injection Testing on Web Application Firewalls
Ke Li, Heng Yang+, Willem Visser
CoRR abs/2206.05743 | June 2022
PDF | BiB

@article{LiYV22,
    author    = {Ke Li and
                 Heng Yang and
                 Willem Visser},
    title     = {DaNuoYi: Evolutionary Multi-Task Injection Testing on Web Application Firewalls},
    journal   = {CoRR},
    volume    = {abs/2206.05743},
    year      = {2022},
    url       = {https://arxiv.org/abs/2206.05743},
    doi       = {10.48550/arXiv.2206.05743},
    eprinttype = {arXiv},
    eprint    = {2206.05743}
}

Interactive Evolutionary Multi-Objective Optimization via Learning-to-Rank
Ke Li, Guiyu Lai+, Xin Yao
CoRR abs/2204.02604 | April 2022
PDF | BiB

@article{LiLY22,
    author    = {Ke Li and
                Guiyu Lai and
                Xin Yao},
    title     = {Interactive Evolutionary Multi-Objective Optimization via Learning-to-Rank},
    journal   = {CoRR},
    volume    = {abs/2204.02604},
    year      = {2022},
    url       = {https://doi.org/10.48550/arXiv.2204.02604},
    doi       = {10.48550/arXiv.2204.02604},
    eprinttype = {arXiv},
    eprint    = {2204.02604},
    timestamp = {Tue, 12 Apr 2022 18:42:14 +0200},
    biburl    = {https://dblp.org/rec/journals/corr/abs-2204-02604.bib},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

Art-Attack: Black-Box Adversarial Attack via Evolutionary Art
Phoenix Williams+, Ke Li
CoRR abs/2203.04405 | March 2022
PDF | BiB

@article{WilliamsL22,
  author    = {Phoenix Neale Williams and
               Ke Li},
  title     = {Art-Attack: Black-Box Adversarial Attack via Evolutionary Art},
  journal   = {CoRR},
  volume    = {abs/2203.04405},
  year      = {2022},
  url       = {https://doi.org/10.48550/arXiv.2203.04405},
  doi       = {10.48550/arXiv.2203.04405},
  eprinttype = {arXiv},
  eprint    = {2203.04405},
  timestamp = {Thu, 19 May 2022 17:23:34 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-2203-04405.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Automated Few-Shot Time Series Forecasting based on Bi-level Programming
Jiangjiao Xu+, Ke Li
CoRR abs/2203.03328 | March 2022
PDF | BiB

@article{XuL22,
  author    = {Jiangjiao Xu and
               Ke Li},
  title     = {Automated Few-Shot Time Series Forecasting based on Bi-level Programming},
  journal   = {CoRR},
  volume    = {abs/2203.03328},
  year      = {2022},
  url       = {https://doi.org/10.48550/arXiv.2203.03328},
  doi       = {10.48550/arXiv.2203.03328},
  eprinttype = {arXiv},
  eprint    = {2203.03328},
  timestamp = {Wed, 16 Mar 2022 16:39:52 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/abs-2203-03328.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

LONViZ: Unboxing the Black-Box of Configurable Software Systems from a Complex Networks Perspective
Ke Li, Peili Mao+, Tao Chen
CoRR abs/2201.01429 | January 2022
PDF | BiB

@article{LiMC22,
  author    = {Ke Li and
               Peili Mao and
               Tao Chen},
  title     = {LONViZ: Unboxing the black-box of Configurable Software Systems from
               a Complex Networks Perspective},
  journal   = {CoRR},
  volume    = {abs/2201.01429},
  year      = {2022},
  url       = {https://arxiv.org/abs/2201.01429},
  eprinttype = {arXiv},
  eprint    = {2201.01429},
  timestamp = {Mon, 10 Jan 2022 13:39:01 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/abs-2201-01429.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Decomposition Multi-Objective Evolutionary Optimization: From State-of-the-Art to Future Opportunities
Ke Li
CoRR abs/2108.09588 | August 2021
PDF | BiB

@article{Li22,
  author    = {Ke Li},
  title     = {Decomposition Multi-Objective Evolutionary Optimization: From State-of-the-Art
               to Future Opportunities},
  journal   = {CoRR},
  volume    = {abs/2108.09588},
  year      = {2021},
  url       = {https://arxiv.org/abs/2108.09588},
  eprinttype = {arXiv},
  eprint    = {2108.09588},
  timestamp = {Fri, 27 Aug 2021 15:02:29 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-2108-09588.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Evolutionary Multi-Objective Virtual Network Function Placement: A Formal Model and Effective Algorithms
Joseph Billingsley+, Ke Li, Wang Miao, Geyong Min, Nektarios Georgalas
CoRR abs/2106.14727 | May 2021
PDF | Supp | BiB

@article{BillingsleyLMMG22,
  author    = {Joseph Billingsley and
               Ke Li and
               Wang Miao and
               Geyong Min and
               Nektarios Georgalas},
  title     = {Evolutionary Multi-Objective Virtual Network Function Placement: {A}
               Formal Model and Effective Algorithms},
  journal   = {CoRR},
  volume    = {abs/2106.14727},
  year      = {2021},
  url       = {https://arxiv.org/abs/2106.14727},
  eprinttype = {arXiv},
  eprint    = {2106.14727},
  timestamp = {Thu, 19 May 2022 17:23:34 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-2106-14727.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

In press #

Do We Really Need to Use Constraint Violation in Constrained Evolutionary Multi-Objective Optimization?
Shuang Li+, Ke Li, Wei Li
Proc. of the 17the International Conference on Parallel Problem Solving from Nature (PPSN'22)
PDF | BiB

Attention-Based Genetic Algorithm for Adversarial Attack in Natural Language Processing
Shasha Zhou+, Ke Li, Geyong Min
Proc. of the 17the International Conference on Parallel Problem Solving from Nature (PPSN'22)
PDF | BiB

Black-Box Adversarial Attack via Overlapped Shapes
Phoenix Williams+, Ke Li, Geyong Min
Proc. of the 24th Annual Conference on Genetic and Evolutionary Computation (GECCO’22)
PDF | BiB

Adversarial Attack Example Generation via Genetic Algorithm: A Preliminary Result
Shasha Zhou+, Ke Li, Geyong Min
Proc. of the 24th Annual Conference on Genetic and Evolutionary Computation (GECCO’22)
PDF | BiB

Batched Data-Driven Evolutionary Multi-Objective Optimization Based on Manifold Interpolation
Ke Li, Renzhi Chen+
IEEE Trans. Evolutionary Computation (TEVC)
10.1109/TEVC.2022.3162993
Abs | PDF | Supp | BiB

Multi-objective optimization problems are ubiquitous in real-world science, engineering and design optimization problems. It is not uncommon that the objective functions are as a black box, the evaluation of which usually involve time-consuming and/or costly physical experiments. Data-driven evolutionary optimization can be used to search for a set of non-dominated trade-off solutions, where the expensive objective functions are approximated as a surrogate model. In this paper, we propose a framework for implementing batched data-driven evolutionary multi-objective optimization. It is so general that any off-the-shelf evolutionary multi-objective optimization algorithms can be applied in a plug-in manner. There are two unique components: 1) based on the Karush-Kuhn-Tucker conditions, a manifold interpolation approach that explores more diversified solutions with a convergence guarantee along the manifold of the approximated Pareto-optimal set; and 2) a batch recommendation approach that reduces the computational time of the data-driven evolutionary optimization process by evaluating multiple samples at a time in parallel. Comparing against 7 state-of-the-art surrogate-assisted evolutionary algorithms, experiments on 168 benchmark test problem instances with various properties and a real-world application on hyper-parameter optimization fully demonstrate the effectiveness and superiority of our proposed framework, which is featured with a faster convergence and a stronger resilience to various PF shapes.

@ARTICLE{LiC22,
  author    = {Li, Ke and 
              Chen, Renzhi},
  journal   = {IEEE Transactions on Evolutionary Computation}, 
  title     = {Batched Data-Driven Evolutionary Multi-Objective Optimization Based on Manifold Interpolation}, 
  year      = {2022},
  doi       = {10.1109/TEVC.2022.3162993}}

Distributed UAV Swarm Formation and Collision Avoidance Strategies Over Fixed and Switching Topologies
Jia Wu, Chunbo Luo, Yang Luo, Ke Li
IEEE Trans. Cybernetics (TCYB)
10.1109/TCYB.2021.3132587
Abs | PDF | BiB

This article proposes a controlling framework for multiple unmanned aerial vehicles (UAVs) to integrate the modes of formation flight and swarm deployment over fixed and switching topologies. Formation strategies enable UAVs to enjoy key collective benefits including reduced energy consumption, but the shape of the formation and each UAV's freedom are significantly restrained. Swarm strategies are thus proposed to maximize each UAV's freedom following simple yet powerful rules. This article investigates the integration and switch between these two strategies, considering the deployment environment factors, such as poor network conditions and unknown and often highly mobile obstacles. We design a distributed formation controller to guide multiple UAVs in orderless states to swiftly reach an intended formation. Inspired by starling birds and similar biological creatures, a distributed collision avoidance controller is proposed to avoid unknown and mobile obstacles. We further illustrated the stability of the controllers over both fixed and switching topologies. The experimental results confirm the effectiveness of the framework.

@article{WuLLL22,
  author    = {Wu, Jia and 
               Luo, Chunbo and 
               Luo, Yang and 
               Li, Ke},
  journal   = {IEEE Transactions on Cybernetics},  
  title     = {Distributed UAV Swarm Formation and Collision Avoidance Strategies Over Fixed and Switching Topologies},
  year      = {2021},
  publisher = {IEEE}
}

Posterior Decision-Making Based on Decomposition-Driven Knee Point Identification
Ke Li, Haifeng Nie+, Huiru Gao+, Xin Yao
IEEE Trans. Evolutionary Computation (TEVC)
10.1109/TEVC.2021.3116121
Abs | PDF | Code | Supp | BiB

Knee points, characterized as a small improvement on one objective can lead to a significant degradation on at least one of the other objectives, are attractive to decision makers in multi-criterion decision-making. This paper presents a simple and effective knee point identification method to help decision makers identify solution(s) of interest from a given set of trade-off solutions thus facilitating posterior decision-making. Our basic idea is to sequentially validate whether a solution is a knee point or not by comparing its localized trade-off utility with others within its neighborhood characterized from a decomposition perspective. In particular, a solution is a knee point if and only if it has the best localized trade-off utility among its neighbors. We implement a GPU version that carries out the knee point identification in a parallel manner. This GPU version reduces the worst-case complexity from quadratic to linear. The performance of our proposed method is compared with five state-of-the-art knee point identification methods on 134 test problem instances and two real-world engineering design problems. Empirical results demonstrate its outstanding performance especially on problems with many local knee points. We further validate the usefulness of our proposed method for guiding evolutionary multi-objective optimization algorithms to search for knee points on the fly during the evolutionary process.

@article{LiNGY22,
  author    = {Li, Ke and 
               Nie, Haifeng and 
               Gao, Huiru and 
               Yao, Xin},
  journal   = {IEEE Transactions on Evolutionary Computation},
  title     = {Posterior Decision-Making Based on Decomposition-Driven Knee Point Identification},
  year      = {2021},
  publisher = {IEEE}
}

Neural Architecture Search for Portrait Parsing
Bo Lyu, Yin Yang, Shiping Wen, Tingwen Huang, Ke Li
IEEE Trans. Neural Networks and Learning Systems (TNNLS)
10.1109/TNNLS.2021.3104872
Abs | PDF | BiB

This work proposes a neural architecture search (NAS) method for portrait parsing, which is a novel up-level task based on portrait segmentation and face labeling. Recently, NAS has become an effective method in terms of automatic machine learning. However, remarkable achievements have been made only in image classification and natural language processing (NLP) areas. Meanwhile, state-of-the-art portrait segmentation and face labeling approaches are all manually designed, but few models reach a tradeoff between efficiency and performance. Thus, we are extremely interested in improving existing NAS methods for dense-per-pixel prediction tasks on portrait datasets. To achieve that, we resort to a cell-based encoder-decoder architecture with an elaborate design of connectivity structure and searching space. As a result, we achieve state-of-the-art performance on three portrait tasks, including 96.8% MIOU on EG1800 (portrait segmentation), 91.2% overall F1-score on HELEN (face labeling), and 95.1% overall F1-score on CelebAMask-HQ (portrait parsing) with only 2.29M model parameters. That is, our approach compares favorably with all previous works on portrait datasets. More crucially, we empirically prove that even a fundamental encoder-decoder architecture may reach an outstanding result on the aforementioned tasks with the help of the innovative approach of NAS. To the best of our knowledge, our work is also the first to report the success of applying NAS on these portrait tasks.

@ARTICLE{LyuYWHL22,
  author   = {Lyu, Bo and 
              Yang, Yin and 
              Wen, Shiping and 
              Huang, Tingwen and 
              Li, Ke},
  journal  = {IEEE Transactions on Neural Networks and Learning Systems}, 
  title    = {Neural Architecture Search for Portrait Parsing}, 
  year     = {2021},
  doi      = {10.1109/TNNLS.2021.3104872}
}

2022 #

Journal #

Transfer Learning Based Parallel Evolutionary Algorithm Framework for Bi-level Optimization
Lei Chen, Hai-Lin Liu, Kay Chen Tan, Ke Li
IEEE Trans. Evolutionary Computation (TEVC), 26(1): 115-129, 2022
10.1109/TEVC.2021.3095313
Abs | PDF | Code | BiB

Evolutionary algorithms (EAs) have been recognized as a promising approach for bilevel optimization. However, the population-based characteristic of EAs largely influences their efficiency and effectiveness due to the nested structure of the two levels of optimization problems. In this article, we propose a transfer learning-based parallel EA (TLEA) framework for bilevel optimization. In this framework, the task of optimizing a set of lower level problems parameterized by upper level variables is conducted in a parallel manner. In the meanwhile, a transfer learning strategy is developed to improve the effectiveness of each lower level search (LLS) process. In practice, we implement two versions of the TLEA: the first version uses the covariance matrix adaptation evolutionary strategy and the second version uses the differential evolution as the evolutionary operator in lower level optimization. The experimental studies on two sets of widely used bilevel optimization benchmark problems are conducted, and the performance of the two TLEA implementations is compared to that of four well-established evolutionary bilevel optimization algorithms to verify the effectiveness and efficiency of the proposed algorithm framework.

@article{ChenLTL22,
  author    = {Lei Chen and
               Hai{-}Lin Liu and
               Kay Chen Tan and
               Ke Li},
  title     = {Transfer Learning-Based Parallel Evolutionary Algorithm Framework
               for Bilevel Optimization},
  journal   = {{IEEE} Trans. Evol. Comput.},
  volume    = {26},
  number    = {1},
  pages     = {115--129},
  year      = {2022},
  url       = {https://doi.org/10.1109/TEVC.2021.3095313},
  doi       = {10.1109/TEVC.2021.3095313},
  timestamp = {Wed, 23 Feb 2022 11:16:38 +0100},
  biburl    = {https://dblp.org/rec/journals/tec/ChenLTL22.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Preference based Multi-Objective Reinforcement Learning for Multi-Microgrid System Optimization Problem in Smart Grid
Jiangjiao Xu, Ke Li, Mohammad Abusara
Memetic Computing (MC), 14(2): 225-235, 2022
10.1007/s12293-022-00357-w
Abs | PDF | BiB

Grid-connected microgrids comprising renewable energy, energy storage systems and local load, play a vital role in decreasing the energy consumption of fossil diesel and greenhouse gas emissions. A distribution power network connecting several microgrids can promote more potent and reliable operations to enhance the security and privacy of the power system. However, the operation control for a multi-microgrid system is a big challenge. To design a multi-microgrid power system, an intelligent multi-microgrids energy management method is proposed based on the preference-based multi-objective reinforcement learning (PMORL) techniques. The power system model can be divided into three layers: the consumer layer, the independent system operator layer, and the power grid layer. Each layer intends to maximize its benefit. The PMORL is proposed to lead to a Pareto optimal set for each object to achieve these objectives. A non-dominated solution is decided to execute a balanced plan not to favor any particular participant. The preference-based results show that the proposed method can effectively learn different preferences. The simulation outcomes confirm the performance of the PMORL and verify the viability of the proposed method.

@article{XuLA22,
  author    = {Xu, J and 
               Li, K and 
               Abusara, M},
  journal   = {Memetic Computing},
  title     = {Preference based multi-objective reinforcement learning for multi-microgrid system optimization problem in smart grid},
  year      = {2022},
  publisher = {Springer}
}

2021 #

Journal #

Vertical Distance-based Clonal Selection Mechanism for the Multiobjective Immune Algorithm
Lingjie Li+, Qiuzhen Lin, Ke Li, Zhong Ming
Swarm and Evolutionary Computation (SWEVO), 106: 107299, 2021
10.1016/j.swevo.2021.100886
PDF | BiB

@article{LiLLM21,
  author    = {Lingjie Li and
               Qiuzhen Lin and
               Ke Li and
               Zhong Ming},
  title     = {Vertical distance-based clonal selection mechanism for the multiobjective
               immune algorithm},
  journal   = {Swarm Evol. Comput.},
  volume    = {63},
  pages     = {100886},
  year      = {2021},
  url       = {https://doi.org/10.1016/j.swevo.2021.100886},
  doi       = {10.1016/j.swevo.2021.100886},
  timestamp = {Tue, 15 Jun 2021 09:16:57 +0200},
  biburl    = {https://dblp.org/rec/journals/swevo/LiLLM21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

A Vector Angles-Based Many-Objective Particle Swarm Optimization Algorithm Using Archive
Lei Yang+, Xin Hu, Ke Li
Applied Soft Computing (ASOC), 63: 100886, 2021
10.1016/j.asoc.2021.107299
PDF | BiB

@article{YangHL21,
  author    = {Lei Yang and
               Xin Hu and
               Ke Li},
  title     = {A vector angles-based many-objective particle swarm optimization algorithm
               using archive},
  journal   = {Appl. Soft Comput.},
  volume    = {106},
  pages     = {107299},
  year      = {2021},
  url       = {https://doi.org/10.1016/j.asoc.2021.107299},
  doi       = {10.1016/j.asoc.2021.107299},
  timestamp = {Fri, 03 Dec 2021 13:16:58 +0100},
  biburl    = {https://dblp.org/rec/journals/asc/YangHL21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Bayesian Network Based Label Correlation Analysis For Multi-label Classifier Chain
Ran Wang, Suhe Ye, Ke Li, Sam Kwong
Information Sciences (INS), 554: 256–275, 2021
10.1016/j.ins.2020.12.010
PDF | BiB

@article{WangYLK21,
  author    = {Ran Wang and
               Suhe Ye and
               Ke Li and
               Sam Kwong},
  title     = {Bayesian network based label correlation analysis for multi-label
               classifier chain},
  journal   = {Inf. Sci.},
  volume    = {554},
  pages     = {256--275},
  year      = {2021},
  url       = {https://doi.org/10.1016/j.ins.2020.12.010},
  doi       = {10.1016/j.ins.2020.12.010},
  timestamp = {Fri, 09 Apr 2021 18:25:48 +0200},
  biburl    = {https://dblp.org/rec/journals/isci/WangYLK21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Conference #

Knee Point Identification Based on the Geometric Characteristic
Renzhi Chen+, Ke Li
Proc. of the 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC'21), IEEE, p. 764–769, October, 2021
10.1109/SMC52423.2021.9658848
PDF | BiB

@inproceedings{Chen021,
  author    = {Renzhi Chen and
               Ke Li},
  title     = {Knee Point Identification Based on the Geometric Characteristic},
  booktitle = {2021 {IEEE} International Conference on Systems, Man, and Cybernetics,
               {SMC} 2021, Melbourne, Australia, October 17-20, 2021},
  pages     = {764--769},
  publisher = {{IEEE}},
  year      = {2021},
  url       = {https://doi.org/10.1109/SMC52423.2021.9658848},
  doi       = {10.1109/SMC52423.2021.9658848},
  timestamp = {Tue, 11 Jan 2022 10:00:39 +0100},
  biburl    = {https://dblp.org/rec/conf/smc/Chen021.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Large-Scale Evolutionary Optimization via Multi-Task Random Grouping
Phoenix Williams+, Ke Li
Proc. of the 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC'21), IEEE, p. 778–783, October, 2021
10.1109/SMC52423.2021.9659276
PDF | BiB

@inproceedings{WilliamsLM21,
  author    = {Phoenix Neale Williams and
               Ke Li and
               Geyong Min},
  title     = {Large-Scale Evolutionary Optimization via Multi-Task Random Grouping},
  booktitle = {2021 {IEEE} International Conference on Systems, Man, and Cybernetics,
               {SMC} 2021, Melbourne, Australia, October 17-20, 2021},
  pages     = {778--783},
  publisher = {{IEEE}},
  year      = {2021},
  url       = {https://doi.org/10.1109/SMC52423.2021.9659276},
  doi       = {10.1109/SMC52423.2021.9659276},
  timestamp = {Thu, 19 May 2022 17:23:34 +0200},
  biburl    = {https://dblp.org/rec/conf/smc/WilliamsLM21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Transfer Bayesian Optimization for Expensive Black-Box Optimization in Dynamic Environment
Renzhi Chen+, Ke Li
Proc. of the 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC'21), IEEE, p. 1374–1379, October, 2021
10.1109/SMC52423.2021.9659200
PDF | BiB

@inproceedings{ChenL21,
  author    = {Renzhi Chen and
               Ke Li},
  title     = {Transfer Bayesian Optimization for Expensive Black-Box Optimization
               in Dynamic Environment},
  booktitle = {2021 {IEEE} International Conference on Systems, Man, and Cybernetics,
               {SMC} 2021, Melbourne, Australia, October 17-20, 2021},
  pages     = {1374--1379},
  publisher = {{IEEE}},
  year      = {2021},
  url       = {https://doi.org/10.1109/SMC52423.2021.9659200},
  doi       = {10.1109/SMC52423.2021.9659200},
  timestamp = {Tue, 11 Jan 2022 10:00:39 +0100},
  biburl    = {https://dblp.org/rec/conf/smc/Chen021a.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

ADMM-based OPF Problem Against Cyber Attacks in Smart Grid
Jiangjiao Xu+, Ke Li, Mohammad Abusara, Yan Zhang
Proc. of the 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC'21), IEEE, p. 1418–1423, October, 2021
10.1109/SMC52423.2021.9658699
PDF | BiB

@inproceedings{XuLA021,
  author    = {Jiangjiao Xu and
               Ke Li and
               Mohammad Abusara and
               Yan Zhang},
  title     = {ADMM-based {OPF} Problem Against Cyber Attacks in Smart Grid},
  booktitle = {2021 {IEEE} International Conference on Systems, Man, and Cybernetics,
               {SMC} 2021, Melbourne, Australia, October 17-20, 2021},
  pages     = {1418--1423},
  publisher = {{IEEE}},
  year      = {2021},
  url       = {https://doi.org/10.1109/SMC52423.2021.9658699},
  doi       = {10.1109/SMC52423.2021.9658699},
  timestamp = {Thu, 10 Mar 2022 11:05:49 +0100},
  biburl    = {https://dblp.org/rec/conf/smc/XuLA021.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

An Enhancement of the NSGA-II Reliability Optimization using Extended Kalman Filter Based Initialization
Savas Yuec+, Ke Li
Proc. of the 2021 20th UK Workshop on Computational Intelligence (UKCI'21), Springer, p. 121–128, September, 2021
10.1007/978-3-030-87094-2_11
PDF | BiB

@inproceedings{YuceL21,
  author    = {Savas Yuce and
               Ke Li},
  title     = {An Enhancement of the {NSGA-II} Reliability Optimization Using Extended
               Kalman Filter Based Initialization},
  booktitle = {Advances in Computational Intelligence Systems - Contributions Presented
               at the 20th {UK} Workshop on Computational Intelligence, September
               8-10, 2021, Aberystwyth, Wales, {UK}},
  series    = {Advances in Intelligent Systems and Computing},
  volume    = {1409},
  pages     = {121--128},
  publisher = {Springer},
  year      = {2021},
  url       = {https://doi.org/10.1007/978-3-030-87094-2\_11},
  doi       = {10.1007/978-3-030-87094-2\_11},
  timestamp = {Thu, 16 Dec 2021 15:07:27 +0100},
  biburl    = {https://dblp.org/rec/conf/ukci/YuceL21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Empirical Studies on the Role of the Decision Maker in Interactive Evolutionary Multi-Objective Optimization
Guiyu Lai+, Minhui Liao, Ke Li
Proc. of the 2021 IEEE Congress on Evolutionary Computation (CEC'21), IEEE, p. 1–8, June, 2021
10.1109/CEC45853.2021.9504980
PDF | BiB

@inproceedings{LaiL021,
  author    = {Guiyu Lai and
               Minhui Liao and
               Ke Li},
  title     = {Empirical Studies on the Role of the Decision Maker in Interactive
               Evolutionary Multi-Objective Optimization},
  booktitle = {{IEEE} Congress on Evolutionary Computation, {CEC} 2021, Krak{\'{o}}w,
               Poland, June 28 - July 1, 2021},
  pages     = {185--192},
  publisher = {{IEEE}},
  year      = {2021},
  url       = {https://doi.org/10.1109/CEC45853.2021.9504980},
  doi       = {10.1109/CEC45853.2021.9504980},
  timestamp = {Thu, 12 Aug 2021 16:39:59 +0200},
  biburl    = {https://dblp.org/rec/conf/cec/LaiL021.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Empirical Study of Correlations in the Fitness Landscapes of Combinatorial Optimization Problems
Longfei Zhang+, Ke Li, Shi Gu
Proc. of the 23th Annual Conference on Genetic and Evolutionary Computation (GECCO’21), ACM, p. 247–248, July, 2021.
10.1145/3449726.3459528
PDF | BiB

@inproceedings{ZhangLG21,
  author    = {Longfei Zhang and
               Ke Li and
               Shi Gu},
  title     = {Empirical study of correlations in the fitness landscapes of combinatorial
               optimization problems},
  booktitle = {{GECCO} '21: Genetic and Evolutionary Computation Conference, Companion
               Volume, Lille, France, July 10-14, 2021},
  pages     = {247--248},
  publisher = {{ACM}},
  year      = {2021},
  url       = {https://doi.org/10.1145/3449726.3459528},
  doi       = {10.1145/3449726.3459528},
  timestamp = {Thu, 19 May 2022 17:23:34 +0200},
  biburl    = {https://dblp.org/rec/conf/gecco/ZhangLG21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

An Improved Two-Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization
Xinyu Shan+, Ke Li
Proc. of the 11th International Conference on Evolutionary Multi-Criterion Optimization (EMO'21), Springer LNCS, volume 12654, p. 235–247, March, 2021
10.1007/978-3-030-72062-9_19
PDF | BiB

@inproceedings{ShanL21,
  author    = {Xinyu Shan and
               Ke Li},
  title     = {An Improved Two-Archive Evolutionary Algorithm for Constrained Multi-objective
               Optimization},
  booktitle = {Evolutionary Multi-Criterion Optimization - 11th International Conference,
               {EMO} 2021, Shenzhen, China, March 28-31, 2021, Proceedings},
  series    = {Lecture Notes in Computer Science},
  volume    = {12654},
  pages     = {235--247},
  publisher = {Springer},
  year      = {2021},
  url       = {https://doi.org/10.1007/978-3-030-72062-9\_19},
  doi       = {10.1007/978-3-030-72062-9\_19},
  timestamp = {Thu, 08 Apr 2021 15:51:58 +0200},
  biburl    = {https://dblp.org/rec/conf/emo/ShanL21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Multi-Objective Reinforcement Learning based Multi-Microgrid System Optimisation Problem
Jiangjiao Xu+, Ke Li, Mohammad Abusara
Proc. of the 11th International Conference on Evolutionary Multi-Criterion Optimization (EMO'21), Springer LNCS, volume 12654, p. 684–696, March, 2021
10.1007/978-3-030-72062-9_54
PDF | BiB

@inproceedings{XuLA21,
  author    = {Jiangjiao Xu and
               Ke Li and
               Mohammad Abusara},
  title     = {Multi-objective Reinforcement Learning Based Multi-microgrid System
               Optimisation Problem},
  booktitle = {Evolutionary Multi-Criterion Optimization - 11th International Conference,
               {EMO} 2021, Shenzhen, China, March 28-31, 2021, Proceedings},
  series    = {Lecture Notes in Computer Science},
  volume    = {12654},
  pages     = {684--696},
  publisher = {Springer},
  year      = {2021},
  url       = {https://doi.org/10.1007/978-3-030-72062-9\_54},
  doi       = {10.1007/978-3-030-72062-9\_54},
  timestamp = {Mon, 12 Apr 2021 14:42:37 +0200},
  biburl    = {https://dblp.org/rec/conf/emo/XuLA21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Parallel Algorithms for Multiobjective Virtual Network Function Placement Problem
Joseph Billingsley+, Ke Li, Wang Miao, Geyong Min, Nektarios Georgalas
Proc. of the 11th International Conference on Evolutionary Multi-Criterion Optimization (EMO'21), Springer LNCS, volume 12654, p. 708–720, March, 2021
10.1007/978-3-030-72062-9_56
PDF | BiB

@inproceedings{BillingsleyLMMG21,
  author    = {Joseph Billingsley and
               Ke Li and
               Wang Miao and
               Geyong Min and
               Nektarios Georgalas},
  title     = {Parallel Algorithms for the Multiobjective Virtual Network Function
               Placement Problem},
  booktitle = {Evolutionary Multi-Criterion Optimization - 11th International Conference,
               {EMO} 2021, Shenzhen, China, March 28-31, 2021, Proceedings},
  series    = {Lecture Notes in Computer Science},
  volume    = {12654},
  pages     = {708--720},
  publisher = {Springer},
  year      = {2021},EDITOR
  url       = {https://doi.org/10.1007/978-3-030-72062-9\_56},
  doi       = {10.1007/978-3-030-72062-9\_56},
  timestamp = {Thu, 19 May 2022 17:23:34 +0200},
  biburl    = {https://dblp.org/rec/conf/emo/BillingsleyLMMG21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

2020 #

Journal #

Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multi-Objective Optimisation Using Reference Points
Ke Li, Minhui Liao+, Kalyanmoy Deb, Geyong Min, Xin Yao
IEEE Trans. Evolutionary Computation (TEVC), 24(6): 1078–1096, 2020.
10.1109/TEVC.2020.2987559
PDF | Code | BiB

@article{LiLDMY20,
  author    = {Ke Li and
               Minhui Liao and
               Kalyanmoy Deb and
               Geyong Min and
               Xin Yao},
  title     = {Does Preference Always Help? {A} Holistic Study on Preference-Based
               Evolutionary Multiobjective Optimization Using Reference Points},
  journal   = {{IEEE} Trans. Evol. Comput.},
  volume    = {24},
  number    = {6},
  pages     = {1078--1096},
  year      = {2020},
  url       = {https://doi.org/10.1109/TEVC.2020.2987559},
  doi       = {10.1109/TEVC.2020.2987559},
  timestamp = {Thu, 17 Dec 2020 18:29:03 +0100},
  biburl    = {https://dblp.org/rec/journals/tec/LiLDMY20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Reference Point Based Multi-Objective Optimization of Reservoir Operation: a Comparison of Three Algorithms
Rong Tang, Ke Li, Wei Ding, Yuntao Wang, Huicheng Zhou, Guangtao Fu
Water Resources Management, 34: 1005–1020, 2020.
10.1007/s11269-020-02485-9
PDF | BiB

@article{tangLDWZF20,
  title     = {Reference point based multi-objective optimization of reservoir operation: a comparison of three algorithms},
  author    = {Tang, Rong and 
               Li, Ke and 
               Ding, Wei and 
               Wang, Yuntao and 
               Zhou, Huicheng and 
               Fu, Guangtao},
  journal   = {Water Resources Management},
  volume    = {34},
  number    = {3},
  pages     = {1005--1020},
  year      = {2020},
  publisher = {Springer}
}

Evolutionary Many-Objective Optimization Based on Adversarial Decomposition
Mengyuan Wu+, Ke Li, Sam Kwong, Qingfu Zhang
IEEE Trans. Cybernetics (TCYB), 50(2): 753–764, 2020.
10.1109/TCYB.2018.2872803
PDF | Supp | Code | BiB

@article{WuLKZ20,
  author    = {Mengyuan Wu and
               Ke Li and
               Sam Kwong and
               Qingfu Zhang},
  title     = {Evolutionary Many-Objective Optimization Based on Adversarial Decomposition},
  journal   = {{IEEE} Trans. Cybern.},
  volume    = {50},
  number    = {2},
  pages     = {753--764},
  year      = {2020},
  url       = {https://doi.org/10.1109/TCYB.2018.2872803},
  doi       = {10.1109/TCYB.2018.2872803},
  timestamp = {Sat, 30 May 2020 19:51:36 +0200},
  biburl    = {https://dblp.org/rec/journals/tcyb/WuLKZ20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Conference #

Performance Analysis of SDN and NFV enabled Mobile Cloud Computing
Joseph Billingsley+, Ke Li, Wang Miao, Geyong Min, Nektarios Georgalas
Proc. of the 2020 IEEE Global Communications Conference (GLOBECOM'20), IEEE Press: p. 1–6, December, 2020
10.1109/GLOBECOM42002.2020.9322530
PDF | BiB

@inproceedings{BillingsleyMLMG20,
  author    = {Joseph Billingsley and
               Wang Miao and
               Ke Li and
               Geyong Min and
               Nektarios Georgalas},
  title     = {Performance Analysis of {SDN} and {NFV} enabled Mobile Cloud Computing},
  booktitle = {{IEEE} Global Communications Conference, {GLOBECOM} 2020, Virtual
               Event, Taiwan, December 7-11, 2020},
  pages     = {1--6},
  publisher = {{IEEE}},
  year      = {2020},
  url       = {https://doi.org/10.1109/GLOBECOM42002.2020.9322530},
  doi       = {10.1109/GLOBECOM42002.2020.9322530},
  timestamp = {Thu, 19 May 2022 17:23:34 +0200},
  biburl    = {https://dblp.org/rec/conf/globecom/BillingsleyMLMG20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Knee Point Identification Based on Voronoi Diagram
Haifeng Nie+, Huiru Gao+, Ke Li
Proc. of the 2020 IEEE Conference on Systems, Man and Cybernetics (SMC'20), IEEE Press: p. 1–6, December, 2020
10.1109/SMC42975.2020.9283262
PDF | BiB

@inproceedings{NieGL20,
  author    = {Haifeng Nie and
               Huiru Gao and
               Ke Li},
  title     = {Knee Point Identification Based on Voronoi Diagram},
  booktitle = {2020 {IEEE} International Conference on Systems, Man, and Cybernetics,
               {SMC} 2020, Toronto, ON, Canada, October 11-14, 2020},
  pages     = {1081--1086},
  publisher = {{IEEE}},
  year      = {2020},
  url       = {https://doi.org/10.1109/SMC42975.2020.9283262},
  doi       = {10.1109/SMC42975.2020.9283262},
  timestamp = {Fri, 08 Jan 2021 11:20:37 +0100},
  biburl    = {https://dblp.org/rec/conf/smc/NieGL20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project Defect Prediction
Ke Li, Zilin Xiang+, Tao Chen, Kay Chen Tan
Proc. of the 35th IEEE/ACM International Conference on Automated Software Engineering (ASE'20), IEEE Press: September, 2020
10.1145/3324884.3416617
PDF | Code | BiB

@inproceedings{LiXCT20,
  author    = {Ke Li and
               Zilin Xiang and
               Tao Chen and
               Kay Chen Tan},
  title     = {BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project
               Defect Prediction},
  booktitle = {35th {IEEE/ACM} International Conference on Automated Software Engineering,
               {ASE} 2020, Melbourne, Australia, September 21-25, 2020},
  pages     = {573--584},
  publisher = {{IEEE}},
  year      = {2020},
  url       = {https://doi.org/10.1145/3324884.3416617},
  doi       = {10.1145/3324884.3416617},
  timestamp = {Fri, 12 Feb 2021 13:04:43 +0100},
  biburl    = {https://dblp.org/rec/conf/kbse/LiXCT20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Adaptive Operator Selection Based on Dynamic Thompson Sampling for MOEA/D
Lei Sun+, Ke Li
Proc. of the 16th International Conference on Parallel Problem Solving from Nature (PPSN XVI), Springer LNCS, volume 12270, p. 271–284, Septermber, 2020.
10.1007/978-3-030-58115-2_19
PDF | BiB

@inproceedings{SunL20,
  author    = {Lei Sun and
               Ke Li},
  title     = {Adaptive Operator Selection Based on Dynamic Thompson Sampling for
               {MOEA/D}},
  booktitle = {Parallel Problem Solving from Nature - {PPSN} {XVI} - 16th International
               Conference, {PPSN} 2020, Leiden, The Netherlands, September 5-9, 2020,
               Proceedings, Part {II}},
  series    = {Lecture Notes in Computer Science},
  volume    = {12270},
  pages     = {271--284},
  publisher = {Springer},
  year      = {2020},
  url       = {https://doi.org/10.1007/978-3-030-58115-2\_19},
  doi       = {10.1007/978-3-030-58115-2\_19},
  timestamp = {Sat, 19 Sep 2020 13:19:33 +0200},
  biburl    = {https://dblp.org/rec/conf/ppsn/SunL20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Surrogate Assisted Evolutionary Algorithm for Medium Scale Multi-Objective Optimisation Problems
Xiaoran Ruan+, Ke Li, Bilel Derbel, Arnaud Liefooghe
Proc. of the 22th Annual Conference on Genetic and Evolutionary Computation (GECCO’20), ACM Press: p. 560–568, July, 2020.
10.1145/3377930.3390191
PDF | BiB

@inproceedings{RuanLDL20,
  author    = {Xiaoran Ruan and
               Ke Li and
               Bilel Derbel and
               Arnaud Liefooghe},
  title     = {Surrogate assisted evolutionary algorithm for medium scale multi-objective
               optimisation problems},
  booktitle = {{GECCO} '20: Genetic and Evolutionary Computation Conference, Canc{\'{u}}n
               Mexico, July 8-12, 2020},
  pages     = {560--568},
  publisher = {{ACM}},
  year      = {2020},
  url       = {https://doi.org/10.1145/3377930.3390191},
  doi       = {10.1145/3377930.3390191},
  timestamp = {Thu, 19 May 2022 17:23:34 +0200},
  biburl    = {https://dblp.org/rec/conf/gecco/RuanLDL20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Routing-Led Placement of VNFs in Arbitrary Networks
Joseph Billingsley+, Ke Li, Wang Miao, Geyong Min, Nektarios Georgalas
Proc. of the 2020 World Congress on Computational Intelligence (WCCI'20), IEEE Press: p. 1–8, July, 2020.
10.1109/CEC48606.2020.9185531
PDF | BiB

@article{BillingsleyLMMG20,
  author    = {Joseph Billingsley and
               Ke Li and
               Wang Miao and
               Geyong Min and
               Nektarios Georgalas},
  title     = {Routing-Led Placement of VNFs in Arbitrary Networks},
  journal   = {CoRR},
  volume    = {abs/2001.11565},
  year      = {2020},
  url       = {https://arxiv.org/abs/2001.11565},
  eprinttype = {arXiv},
  eprint    = {2001.11565},
  timestamp = {Mon, 03 Feb 2020 11:21:05 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/abs-2001-11565.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Surrogate Assisted Evolutionary Algorithm Based on Transfer Learning for Dynamic Expensive Multi-Objective Optimisation Problems
Xuezhou Fan, Ke Li, Kay Chen Tan
Proc. of the 2020 World Congress on Computational Intelligence (WCCI'20), IEEE Press: p. 1–8, July, 2020.
10.1109/CEC48606.2020.9185522
PDF | BiB

@inproceedings{FanLT20,
  author    = {Xuezhou Fan and
               Ke Li and
               Kay Chen Tan},
  title     = {Surrogate Assisted Evolutionary Algorithm Based on Transfer Learning
               for Dynamic Expensive Multi-Objective Optimisation Problems},
  booktitle = {{IEEE} Congress on Evolutionary Computation, {CEC} 2020, Glasgow,
               United Kingdom, July 19-24, 2020},
  pages     = {1--8},
  publisher = {{IEEE}},
  year      = {2020},
  url       = {https://doi.org/10.1109/CEC48606.2020.9185522},
  doi       = {10.1109/CEC48606.2020.9185522},
  timestamp = {Fri, 11 Sep 2020 15:04:41 +0200},
  biburl    = {https://dblp.org/rec/conf/cec/FanLT20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

DeepSQLi: Deep Semantic Learning for Testing SQL Injection
Muyang Liu+, Ke Li, Tao Chen
Proc. of the ACM SIGSOFT 2020 International Symposium on Software Testing and Analysis (ISSTA'20), ACM Press: p. 286–297, July, 2020.
10.1145/3395363.3397375
PDF | Code | BiB

@inproceedings{LiuLC20,
  author    = {Muyang Liu and
               Ke Li and
               Tao Chen},
  title     = {DeepSQLi: deep semantic learning for testing {SQL} injection},
  booktitle = {{ISSTA} '20: 29th {ACM} {SIGSOFT} International Symposium on Software
               Testing and Analysis, Virtual Event, USA, July 18-22, 2020},
  pages     = {286--297},
  publisher = {{ACM}},
  year      = {2020},
  url       = {https://doi.org/10.1145/3395363.3397375},
  doi       = {10.1145/3395363.3397375},
  timestamp = {Wed, 15 Jul 2020 16:06:56 +0200},
  biburl    = {https://dblp.org/rec/conf/issta/Liu0020.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Understanding the Automated Parameter Optimization on Transfer Learning for Cross-Project Defect Prediction: An Empirical Study
Ke Li*, Zilin Xiang+*, Tao Chen*, Shuo Wang, Kay Chen Tan
Proc. of the 42nd International Conference on Software Engineering (ICSE'20), ACM Press: p. 566–577, June, 2020.
10.1145/3377811.3380360
PDF | Code | BiB

@inproceedings{LiX0WT20,
  author    = {Ke Li and
               Zilin Xiang and
               Tao Chen and
               Shuo Wang and
               Kay Chen Tan},
  title     = {Understanding the automated parameter optimization on transfer learning
               for cross-project defect prediction: an empirical study},
  booktitle = {{ICSE} '20: 42nd International Conference on Software Engineering,
               Seoul, South Korea, 27 June - 19 July, 2020},
  pages     = {566--577},
  publisher = {{ACM}},
  year      = {2020},
  url       = {https://doi.org/10.1145/3377811.3380360},
  doi       = {10.1145/3377811.3380360},
  timestamp = {Tue, 12 Jan 2021 14:44:41 +0100},
  biburl    = {https://dblp.org/rec/conf/icse/LiX0WT20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

On the Combined Impact of Population Size and Sub-problem Selection in MOEA/D
Geoffrey Pruvost, Bilel Derbel, Arnaud Liefooghe, Ke Li, Qingfu Zhang
Proc. of the 20th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP'20), Springer LNCS, volume 12102, p. 131–147, April, 2020.
10.1007/978-3-030-43680-3_9
PDF | BiB

@inproceedings{PruvostDLL020,
  author    = {Geoffrey Pruvost and
               Bilel Derbel and
               Arnaud Liefooghe and
               Ke Li and
               Qingfu Zhang},
  title     = {On the Combined Impact of Population Size and Sub-problem Selection
               in {MOEA/D}},
  booktitle = {Evolutionary Computation in Combinatorial Optimization - 20th European
               Conference, EvoCOP 2020, Held as Part of EvoStar 2020, Seville, Spain,
               April 15-17, 2020, Proceedings},
  series    = {Lecture Notes in Computer Science},
  volume    = {12102},
  pages     = {131--147},
  publisher = {Springer},
  year      = {2020},
  url       = {https://doi.org/10.1007/978-3-030-43680-3\_9},
  doi       = {10.1007/978-3-030-43680-3\_9},
  timestamp = {Sun, 25 Jul 2021 11:53:08 +0200},
  biburl    = {https://dblp.org/rec/conf/evoW/PruvostDLL020.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

2019 #

Journal #

Learning to Decompose: A Paradigm for Decomposition-Based Multi-Objective Optimization
Mengyuan Wu+, Ke Li, Sam Kwong, Qingfu Zhang, Jun Zhang
IEEE Trans. Evolutionary Computation (TEVC), 23(3): 376–390, 2019.
10.1109/TEVC.2018.2865931
PDF | Supp | Code | BiB

@article{WuLKZZ19,
  author    = {Mengyuan Wu and
               Ke Li and
               Sam Kwong and
               Qingfu Zhang and
               Jun Zhang},
  title     = {Learning to Decompose: {A} Paradigm for Decomposition-Based Multiobjective
               Optimization},
  journal   = {{IEEE} Trans. Evol. Comput.},
  volume    = {23},
  number    = {3},
  pages     = {376--390},
  year      = {2019},
  url       = {https://doi.org/10.1109/TEVC.2018.2865931},
  doi       = {10.1109/TEVC.2018.2865931},
  timestamp = {Tue, 12 May 2020 16:51:10 +0200},
  biburl    = {https://dblp.org/rec/journals/tec/WuLKZZ19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Interactive Decomposition Multi-Objective Optimization via Progressively Learned Value Functions
Ke Li*, Renzhi Chen*+, Dragan Savic, Xin Yao
IEEE Trans. Fuzzy Systems (TFS), 27(5): 845–860, 2019.
10.1109/TFUZZ.2018.2880700
PDF | Supp | Code | BiB

@article{LiCSY19,
  author    = {Ke Li and
               Renzhi Chen and
               Dragan A. Savic and
               Xin Yao},
  title     = {Interactive Decomposition Multiobjective Optimization Via Progressively
               Learned Value Functions},
  journal   = {{IEEE} Trans. Fuzzy Syst.},
  volume    = {27},
  number    = {5},
  pages     = {849--860},
  year      = {2019},
  url       = {https://doi.org/10.1109/TFUZZ.2018.2880700},
  doi       = {10.1109/TFUZZ.2018.2880700},
  timestamp = {Tue, 12 May 2020 16:52:42 +0200},
  biburl    = {https://dblp.org/rec/journals/tfs/LiCSY19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Two-Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization
Ke Li*, Renzhi Chen*+, Guangtao Fu, Xin Yao
IEEE Trans. Evolutionary Computation (TEVC), 23(2): 303–315, 2019.
10.1109/TEVC.2018.2855411
PDF | Supp | Code | BiB

@article{LiCFY19,
  author    = {Ke Li and
               Renzhi Chen and
               Guangtao Fu and
               Xin Yao},
  title     = {Two-Archive Evolutionary Algorithm for Constrained Multiobjective
               Optimization},
  journal   = {{IEEE} Trans. Evol. Comput.},
  volume    = {23},
  number    = {2},
  pages     = {303--315},
  year      = {2019},
  url       = {https://doi.org/10.1109/TEVC.2018.2855411},
  doi       = {10.1109/TEVC.2018.2855411},
  timestamp = {Tue, 12 May 2020 16:51:04 +0200},
  biburl    = {https://dblp.org/rec/journals/tec/LiCFY19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

A Knee-Point-Based Evolutionary Algorithm Using Weighted Subpopulation for Many-Objective Optimization
Juan Zou, Chunhui Ji, Shengxiang Yang, Yuping Zhang, Jinhua Zheng, Ke Li
Swarm and Evolutionary Computation, 47: 33–43, 2019.
10.1016/j.swevo.2019.02.001
PDF | BiB

@article{ZouJYZZL19,
    author    = {Juan Zou and
                 Chunhui Ji and
                 Shengxiang Yang and
                 Yuping Zhang and
                 Jinhua Zheng and
                 Ke Li},
    title     = {A Knee-Point-Based Evolutionary Algorithm Using Weighted Subpopulation for Many-Objective Optimization}, 
    journal   = {Swarm and Evolutionary Computation},
    year      = {2019},
    note      = {accepted for publication}
}

Conference #

Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution
Ke Li, Zilin Xiang+, Kay Chen Tan
Proc. of the 2019 IEEE Congress on Evolutionary Computation (CEC'19), IEEE Press: p. 1988–1995, June, 2019.
10.1109/CEC.2019.8789984
PDF | Supp | BiB

@article{LiXT19,
  author    = {Ke Li and
               Zilin Xiang and
               Kay Chen Tan},
  title     = {Which Surrogate Works for Empirical Performance Modelling? {A} Case
               Study with Differential Evolution},
  journal   = {CoRR},
  volume    = {abs/1901.11120},
  year      = {2019},
  url       = {http://arxiv.org/abs/1901.11120},
  eprinttype = {arXiv},
  eprint    = {1901.11120},
  timestamp = {Mon, 16 Mar 2020 17:55:51 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1901-11120.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Visualisation of Pareto Front Approximation: A Short Survey and Empirical Comparisons
Huiru Gao+, Haifeng Nie+, Ke Li
Proc. of the 2019 IEEE Congress on Evolutionary Computation (CEC'19), IEEE Press: p. 1750–1757, June, 2019.
10.1109/CEC.2019.8790298
PDF | Supp | BiB

@article{GaoNL19,
  author    = {Huiru Gao and
               Haifeng Nie and
               Ke Li},
  title     = {Visualisation of Pareto Front Approximation: {A} Short Survey and
               Empirical Comparisons},
  journal   = {CoRR},
  volume    = {abs/1903.01768},
  year      = {2019},
  url       = {http://arxiv.org/abs/1903.01768},
  eprinttype = {arXiv},
  eprint    = {1903.01768},
  timestamp = {Fri, 08 Jan 2021 11:20:34 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1903-01768.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Decomposition Multi-Objective Optimisation: Current Developments and Future Opportunities
Ke Li, Qingfu Zhang
Proc. of the 21th Annual Conference on Genetic and Evolutionary Computation (GECCO’19): ACM Press: p. 1002–1031, July 2019.
10.1145/3319619.3323369
Slides | BiB

@inproceedings{LiZ19,
  author    = {Ke Li and
               Qingfu Zhang},
  title     = {Decomposition multi-objective optimisation: current developments and
               future opportunities},
  booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference
               Companion, {GECCO} 2019, Prague, Czech Republic, July 13-17, 2019},
  pages     = {1002--1031},
  publisher = {{ACM}},
  year      = {2019},
  url       = {https://doi.org/10.1145/3319619.3323369},
  doi       = {10.1145/3319619.3323369},
  timestamp = {Mon, 15 Jul 2019 16:26:46 +0200},
  biburl    = {https://dblp.org/rec/conf/gecco/LiZ19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Security Testing of Web Applications: A Search-Based Approach for Detecting SQL Injection Vulnerabilities
Muyang Liu+, Ke Li, Tao Chen
Proc. of the 21th Annual Conference on Genetic and Evolutionary Computation (GECCO’19), ACM Press: p. 417–418, July 2019.
10.1145/3319619.3322026
PDF | BiB

@inproceedings{LiuLC19,
  author    = {Muyang Liu and
               Ke Li and
               Tao Chen},
  title     = {Security testing of web applications: a search-based approach for
               detecting {SQL} injection vulnerabilities},
  booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference
               Companion, {GECCO} 2019, Prague, Czech Republic, July 13-17, 2019},
  pages     = {417--418},
  publisher = {{ACM}},
  year      = {2019},
  url       = {https://doi.org/10.1145/3319619.3322026},
  doi       = {10.1145/3319619.3322026},
  timestamp = {Wed, 08 Jan 2020 08:56:46 +0100},
  biburl    = {https://dblp.org/rec/conf/gecco/LiuLC19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Progressive Preference Learning: Proof-of-Principle Results in MOEA/D
Ke Li
Proc. of the 10th International Conference on Evolutionary Multi-Criterion Optimization (EMO’19), Springer LNCS, volume 11411, p. 631–643, March 2019.
10.1007/978-3-030-12598-1_50
PDF | Supp | Code | BiB

@inproceedings{Li19,
    author    = {Ke Li},
    title     = {Progressive Preference Learning: Proof-of-Principle Results in {MOEA/D}},
    booktitle = {EMO'19: Proc. of the 10th International Conference Evolutionary Multi-Criterion Optimization},
    pages     = {631--643},
    year      = {2019},
    url       = {https://doi.org/10.1007/978-3-030-12598-1\_50},
    doi       = {10.1007/978-3-030-12598-1\_50},
    timestamp = {Thu, 28 Feb 2019 14:53:34 +0100},
    biburl    = {https://dblp.org/rec/bib/conf/emo/Li19},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

A Formal Model for Multi-objective Optimisation of NFV Placement
Joseph Billingsley, Ke Li, Wang Miao, Geyong Min, N. Georgalas
Proc. of the 10th International Conference on Evolutionary Multi-Criterion Optimization (EMO’19), Springer LNCS, volume 11411, p. 529–540, March 2019.
10.1007/978-3-030-12598-1_42
PDF | BiB

@inproceedings{BillingsleyLMMG19,
  author    = {Joseph Billingsley and
               Ke Li and
               Wang Miao and
               Geyong Min and
               Nektarios Georgalas},
  title     = {A Formal Model for Multi-objective Optimisation of Network Function
               Virtualisation Placement},
  booktitle = {Evolutionary Multi-Criterion Optimization - 10th International Conference,
               {EMO} 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings},
  series    = {Lecture Notes in Computer Science},
  volume    = {11411},
  pages     = {529--540},
  publisher = {Springer},
  year      = {2019},
  url       = {https://doi.org/10.1007/978-3-030-12598-1\_42},
  doi       = {10.1007/978-3-030-12598-1\_42},
  timestamp = {Fri, 26 Feb 2021 09:21:56 +0100},
  biburl    = {https://dblp.org/rec/conf/emo/BillingsleyLMMG19.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

2018 #

Journal #

R-Metric: Evaluating the Performance of Preference-Based Evolutionary Multi-Objective Optimization Using Reference Points
Ke Li, Kalyanmoy Deb, Xin Yao
IEEE Trans. Evolutionary Computation (TEVC), 22(6): 821–835, 2018.
10.1109/TEVC.2017.2737781
PDF | Supp | Code | BiB

@article{LiDY18,
  author    = {Ke Li and
               Kalyanmoy Deb and
               Xin Yao},
  title     = {R-Metric: Evaluating the Performance of Preference-Based Evolutionary
               Multiobjective Optimization Using Reference Points},
  journal   = {{IEEE} Trans. Evol. Comput.},
  volume    = {22},
  number    = {6},
  pages     = {821--835},
  year      = {2018},
  url       = {https://doi.org/10.1109/TEVC.2017.2737781},
  doi       = {10.1109/TEVC.2017.2737781},
  timestamp = {Tue, 12 May 2020 16:50:45 +0200},
  biburl    = {https://dblp.org/rec/journals/tec/LiDY18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Integration of Preferences in Decomposition Multiobjective Optimization
Ke Li*, Renzhi Chen*+, Geyong Min, Xin Yao
IEEE Trans. Cybernetics (TCYB), 48(12): 3359–3370, 2018.
10.1109/TCYB.2018.2859363
PDF | Supp | Code | BiB

@article{LiCMY18,
    author    = {Ke Li and
                 Renzhi Chen and
                 Geyong Min and
                 Xin Yao},
    title     = {Integration of Preferences in Decomposition Multiobjective Optimization},
    journal   = {{IEEE} Trans. Cybernetics},
    volume    = {48},
    number    = {12},
    pages     = {3359--3370},
    year      = {2018},
    url       = {https://doi.org/10.1109/TCYB.2018.2859363},
    doi       = {10.1109/TCYB.2018.2859363},
    timestamp = {Sun, 23 Dec 2018 17:21:04 +0100},
    biburl    = {https://dblp.org/rec/bib/journals/tcyb/LiCMY18},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

Evolutionary Multiobjective Optimization-Based Multimodal Optimization: Fitness Landscape Approximation and Peak Detection
Ran Cheng, Miqing Li, Ke Li, Xin Yao
IEEE Trans. Evolutionary Computation (TEVC), 22(5): 692–706, 2018.
10.1109/TEVC.2017.2744328
PDF | BiB

@article{ChengLLY18,
    author    = {Ran Cheng and
                 Miqing Li and
                 Ke Li and
                 Xin Yao},
    title     = {Evolutionary Multiobjective Optimization-Based Multimodal Optimization:
        Fitness Landscape Approximation and Peak Detection},
    journal   = {{IEEE} Trans. Evolutionary Computation},
    volume    = {22},
    number    = {5},
    pages     = {692--706},
    year      = {2018},
    url       = {https://doi.org/10.1109/TEVC.2017.2744328},
    doi       = {10.1109/TEVC.2017.2744328},
    timestamp = {Sun, 23 Dec 2018 17:21:04 +0100},
    biburl    = {https://dblp.org/rec/bib/journals/tec/ChengLLY18},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

FEMOSAA: Feature Guided and Knee Driven Multi-Objective Optimization for Self-Adaptive Software at Runtime
Tao Chen, Ke Li, Rami Bahsoon, Xin Yao
ACM Trans. Software Engineering and Methodology (TOSEM), 27(2): 1–50, 2018.
10.1145/3204459
PDF | Code | BiB

@article{ChenLBY18,
    author    = {Tao Chen and
                 Ke Li and
                 Rami Bahsoon and
                 Xin Yao},
    title     = {{FEMOSAA:} Feature-Guided and Knee-Driven Multi-Objective Optimization
        for Self-Adaptive Software},
    journal   = {{ACM} Trans. Softw. Eng. Methodol.},
    volume    = {27},
    number    = {2},
    pages     = {5:1--5:50},
    year      = {2018},
    url       = {https://doi.org/10.1145/3204459},
    doi       = {10.1145/3204459},
    timestamp = {Wed, 21 Nov 2018 12:44:28 +0100},
    biburl    = {https://dblp.org/rec/bib/journals/tosem/ChenLBY18},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

Dynamic Multi-Objectives Optimization with a Changing Number of Objectives
Ke Li*, Renzhi Chen*+, Xin Yao,
IEEE Trans. Evolutionary Computation (TEVC), 21(1): 157–171, 2018.
10.1109/TEVC.2017.2669638
PDF | Supp | Code | BiB

@article{ChenLY18,
    author    = {Renzhi Chen and
                 Ke Li and
                 Xin Yao},
    title     = {Dynamic Multiobjectives Optimization With a Changing Number of Objectives},
    journal   = {{IEEE} Trans. Evolutionary Computation},
    volume    = {22},
    number    = {1},
    pages     = {157--171},
    year      = {2018},
    url       = {https://doi.org/10.1109/TEVC.2017.2669638},
    doi       = {10.1109/TEVC.2017.2669638},
    timestamp = {Wed, 04 Jul 2018 13:22:50 +0200},
    biburl    = {https://dblp.org/rec/bib/journals/tec/ChenLY18},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

Conference #

Multi-Tenant Cloud Service Composition using Evolutionary Optimization
Satish Kumar, Rami Bahsoon, Tao Chen, Ke Li, R. Buyya,
Proc. of the 24th International Conference on Parallel and Distributed Systems (ICPADS’18), IEEE Press: p. 972–979, December 2018.
10.1109/PADSW.2018.8644640
PDF | BiB

@inproceedings{KumarBCLB18,
    author    = {Satish Kumar and
                 Rami Bahsoon and
                 Tao Chen and
                 Ke Li and
                 Rajkumar Buyya},
    title     = {Multi-Tenant Cloud Service Composition Using Evolutionary Optimization},
    booktitle = {ICPADS: Proc. of the 24th {IEEE} International Conference on Parallel and Distributed Systems},
    pages     = {972--979},
    year      = {2018},
    url       = {https://doi.org/10.1109/PADSW.2018.8644640},
    doi       = {10.1109/PADSW.2018.8644640},
    timestamp = {Tue, 26 Feb 2019 16:36:22 +0100},
    biburl    = {https://dblp.org/rec/bib/conf/icpads/KumarBCLB18},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

Decomposition Multi-Objective Optimisation: Current Developments and Future Opportunities
Ke Li, Qingfu Zhang
Proc. of the 20th Annual Conference on Genetic and Evolutionary Computation (GECCO’18), ACM Press: p. 903–936, July 2018.
10.1145/3205651.3207856
Slides | BiB

@inproceedings{LiZ18,
  author    = {Ke Li and
               Qingfu Zhang},
  title     = {Decomposition multi-objective optimisation: current developments and
               future opportunities},
  booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference
               Companion, {GECCO} 2018, Kyoto, Japan, July 15-19, 2018},
  pages     = {907--936},
  publisher = {{ACM}},
  year      = {2018},
  url       = {https://doi.org/10.1145/3205651.3207856},
  doi       = {10.1145/3205651.3207856},
  timestamp = {Fri, 27 Dec 2019 21:30:09 +0100},
  biburl    = {https://dblp.org/rec/conf/gecco/0001Z18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{LiZ18,
    author    = {Ke Li and
                 Qingfu Zhang},
    title     = {Decomposition multi-objective optimisation: current developments and
        future opportunities},
    booktitle = {GECCO'18: Proc. of the 20th Genetic and Evolutionary Computation Conference
        Companion},
    pages     = {907--936},
    year      = {2018},
    url       = {https://doi.org/10.1145/3205651.3207856},
    doi       = {10.1145/3205651.3207856},
    timestamp = {Wed, 21 Nov 2018 12:43:54 +0100},
    biburl    = {https://dblp.org/rec/bib/conf/gecco/0001Z18},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

2017 #

Journal #

Efficient Non-domination Level Update Method for Steady-State Evolutionary Multiobjective Optimization
Ke Li, Kalyanmoy Deb, Qingfu Zhang, Qiang Zhang
IEEE Trans. Cybernetics (TCYB), 47(9): 2838–2849, 2017.
10.1109/TCYB.2016.2621008
PDF | Supp | Code | BiB

@article{LiDZZ17,
    author    = {Ke Li and
                 Kalyanmoy Deb and
                 Qingfu Zhang and
                 Qiang Zhang},
    title     = {Efficient Nondomination Level Update Method for Steady-State Evolutionary
        Multiobjective Optimization},
    journal   = {{IEEE} Trans. Cybernetics},
    volume    = {47},
    number    = {9},
    pages     = {2838--2849},
    year      = {2017},
    url       = {https://doi.org/10.1109/TCYB.2016.2621008},
    doi       = {10.1109/TCYB.2016.2621008},
    timestamp = {Wed, 14 Nov 2018 10:31:31 +0100},
    biburl    = {https://dblp.org/rec/bib/journals/tcyb/LiDZZ17},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

Matching-Based Selection with Incomplete Lists for Decomposition Multi-Objective Optimization
Mengyuan Wu+, Ke Li, Sam Kwong, Yu Zhou, Qingfu Zhang
IEEE Trans. Evolutionary Computation (TEVC), 21(4): 554–568, 2017.
10.1109/TEVC.2017.2656922
PDF | Supp | Code | BiB

@article{WuLKZZ17,
    author    = {Mengyuan Wu and
                 Ke Li and
                 Sam Kwong and
                 Yu Zhou and
                 Qingfu Zhang},
    title     = {Matching-Based Selection With Incomplete Lists for Decomposition Multiobjective
        Optimization},
    journal   = {{IEEE} Trans. Evolutionary Computation},
    volume    = {21},
    number    = {4},
    pages     = {554--568},
    year      = {2017},
    url       = {https://doi.org/10.1109/TEVC.2017.2656922},
    doi       = {10.1109/TEVC.2017.2656922},
    timestamp = {Sun, 23 Sep 2018 19:44:31 +0200},
    biburl    = {https://dblp.org/rec/bib/journals/tec/WuLKZZ17},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

Recent advances in semantic computing and personalization
Haoran Xie, Fu Lee Wang, Xudong Mao, Ke Li, Qing Li, Handing Wang
Neurocomputing (NEUCOM). 254: 1–2, 2017.
10.1016/j.neucom.2017.02.073
PDF | BiB

@article{XieWMLLW17,
    author    = {Haoran Xie and
                 Fu Lee Wang and
                 Xudong Mao and
                 Ke Li and
                 Qing Li and
                 Handing Wang},
    title     = {Recent advances in semantic computing and personalization},
    journal   = {Neurocomputing},
    volume    = {254},
    pages     = {1--2},
    year      = {2017},
    url       = {https://doi.org/10.1016/j.neucom.2017.02.073},
    doi       = {10.1016/j.neucom.2017.02.073},
    timestamp = {Fri, 30 Nov 2018 13:23:21 +0100},
    biburl    = {https://dblp.org/rec/bib/journals/ijon/XieWMLLW17},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

Conference #

Empirical Investigations of Reference Point Based Methods When Facing a Massively Large Number of Objectives: First Results
Ke Li, Kalyamoy Deb, Tolga Altinoz, Xin Yao
Proc. of the 9th International Conference on Evolutionary Multi-Criterion Optimization (EMO’17), Springer LNCS, volume 10173, p. 390–405, March 2017.
10.1007/978-3-319-54157-0_27
PDF | BiB

@inproceedings{LiDAY17,
    author    = {Ke Li and
                 Kalyanmoy Deb and
                 Okkes Tolga Altin{\"{o}}z and
                 Xin Yao},
    title     = {Empirical Investigations of Reference Point Based Methods When Facing
        a Massively Large Number of Objectives: First Results},
    booktitle = {EMO'17: Proc. of the 9th International Conference Evolutionary Multi-Criterion Optimization},
        pages     = {390--405},
        year      = {2017},
        url       = {https://doi.org/10.1007/978-3-319-54157-0\_27},
        doi       = {10.1007/978-3-319-54157-0\_27},
        timestamp = {Wed, 14 Nov 2018 10:59:29 +0100},
        biburl    = {https://dblp.org/rec/bib/conf/emo/LiDAY17},
        bibsource = {dblp computer science bibliography, https://dblp.org}
}

Adaptive weights generation for decomposition-based multi-objective optimization using Gaussian process regression
Mengyuan Wu, Sam Kwong, Yuheng Jia, Ke Li, Qingfu Zhang
Proc. of the 19th Annual Conference on Genetic and Evolutionary Computation (GECCO’17), ACM Press: p. 641–648, July 2017.
10.1145/3071178.3071339
PDF | BiB

@inproceedings{WuKJLZ17,
    author    = {Mengyuan Wu and
                 Sam Kwong and
                 Yuheng Jia and
                 Ke Li and
                 Qingfu Zhang},
    title     = {Adaptive weights generation for decomposition-based multi-objective
        optimization using Gaussian process regression},
    booktitle = {GECCO'17: Proc. of the 19th Genetic and Evolutionary Computation Conference},
    pages     = {641--648},
    year      = {2017},
    url       = {https://doi.org/10.1145/3071178.3071339},
    doi       = {10.1145/3071178.3071339},
    timestamp = {Tue, 06 Nov 2018 11:06:40 +0100},
    biburl    = {https://dblp.org/rec/bib/conf/gecco/WuKJLZ17},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

2016 #

Journal #

Personalized Search for Social Media via Dominating Verbal Context
Haoran Xie, Xiaodong Li, Tao Wang, Li Chen, Ke Li, Fu Lee Wang, Yi Cai, Qing Li, Huaqing Min
Neurocomputing (NEUCOM). 172: 27–37, 2016.
10.1016/j.neucom.2014.12.109
PDF | BiB

@article{XieLWCLWCLM16,
    author    = {Haoran Xie and
                 Xiaodong Li and
                 Tao Wang and
                 Li Chen and
                 Ke Li and
                 Fu Lee Wang and
                 Yi Cai and
                 Qing Li and
                 Huaqing Min},
    title     = {Personalized search for social media via dominating verbal context},
    journal   = {Neurocomputing},
    volume    = {172},
    pages     = {27--37},
    year      = {2016},
    url       = {https://doi.org/10.1016/j.neucom.2014.12.109},
    doi       = {10.1016/j.neucom.2014.12.109},
    timestamp = {Wed, 14 Nov 2018 10:26:17 +0100},
    biburl    = {https://dblp.org/rec/bib/journals/ijon/XieLWCLWCLM16},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

Conference #

Variable Interactions in Multi-Objective Optimization Problems
Ke Li, Mohammad Nabi Omidvar, Kalyanmoy Deb, Xin Yao
Proc. of the 14th International Conference on Parallel Problem Solving from Nature (PPSN’16), Springer LNCS, volume 9921, p. 399–409, September 2016.
10.1007/978-3-319-45823-6_37
PDF | BiB

@inproceedings{LiODY16,
  author    = {Ke Li and
               Mohammad Nabi Omidvar and
               Kalyanmoy Deb and
               Xin Yao},
  title     = {Variable Interaction in Multi-objective Optimization Problems},
  booktitle = {Parallel Problem Solving from Nature - {PPSN} {XIV} - 14th International
               Conference, Edinburgh, UK, September 17-21, 2016, Proceedings},
  series    = {Lecture Notes in Computer Science},
  volume    = {9921},
  pages     = {399--409},
  publisher = {Springer},
  year      = {2016},
  url       = {https://doi.org/10.1007/978-3-319-45823-6\_37},
  doi       = {10.1007/978-3-319-45823-6\_37},
  timestamp = {Wed, 19 Jan 2022 09:30:47 +0100},
  biburl    = {https://dblp.org/rec/conf/ppsn/LiODY16.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

2015 #

Journal #

An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition
Ke Li, Kalyanmoy Deb, Qingfu Zhang, Sam Kwong
IEEE Trans. Evolutionary Computation (TEVC), 19(5): 694–716, 2015.
10.1109/TEVC.2014.2373386
PDF | Code | BiB

@article{LiDZK15,
    author    = {Ke Li and
                 Kalyanmoy Deb and
                 Qingfu Zhang and
                 Sam Kwong},
    title     = {An Evolutionary Many-Objective Optimization Algorithm Based on Dominance
        and Decomposition},
    journal   = {{IEEE} Trans. Evolutionary Computation},
    volume    = {19},
    number    = {5},
    pages     = {694--716},
    year      = {2015},
    url       = {https://doi.org/10.1109/TEVC.2014.2373386},
    doi       = {10.1109/TEVC.2014.2373386},
    timestamp = {Sun, 23 Sep 2018 19:44:31 +0200},
    biburl    = {https://dblp.org/rec/bib/journals/tec/LiDZK15},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

Interrelationship-Based Selection for Decomposition Multiobjective Optimization
Ke Li, Sam Kwong, Qingfu Zhang, Kalyanmoy Deb
IEEE Trans. Cybernetics (TCYB), 45(10): 2076–2088, 2015
10.1109/TCYB.2014.2365354
PDF | PDF | Code | BiB

@article{LiKZD15,
    author    = {Ke Li and
                 Sam Kwong and
                 Qingfu Zhang and
                 Kalyanmoy Deb},
    title     = {Interrelationship-Based Selection for Decomposition Multiobjective
        Optimization},
    journal   = {{IEEE} Trans. Cybernetics},
    volume    = {45},
    number    = {10},
    pages     = {2076--2088},
    year      = {2015},
    url       = {https://doi.org/10.1109/TCYB.2014.2365354},
    doi       = {10.1109/TCYB.2014.2365354},
    timestamp = {Wed, 14 Nov 2018 10:31:35 +0100},
    biburl    = {https://dblp.org/rec/bib/journals/tcyb/LiKZD15},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

A Dual-Population Paradigm for Evolutionary Multiobjective Optimization
Ke Li, Sam Kwong, Kalyanmoy Deb
Information Sciences (INS), 309: 50–72, 2015.
10.1016/j.ins.2015.03.002
PDF | Code | BiB

@article{LiKD15,
    author    = {Ke Li and
                 Sam Kwong and
                 Kalyanmoy Deb},
    title     = {A dual-population paradigm for evolutionary multiobjective optimization},
    journal   = {Inf. Sci.},
    volume    = {309},
    pages     = {50--72},
    year      = {2015},
    url       = {https://doi.org/10.1016/j.ins.2015.03.002},
    doi       = {10.1016/j.ins.2015.03.002},
    timestamp = {Wed, 14 Nov 2018 10:27:37 +0100},
    biburl    = {https://dblp.org/rec/bib/journals/isci/LiKD15},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

Class-Specific Soft Voting based Multiple Extreme Learning Machines Ensemble
Jingjing Cao, Sam Kwong, Ran Wang, Xiaodong Li, Ke Li, Xiangfei Kong
Neurocomputing (NEUCOM). 149: 275–284, 2015.
10.1016/j.neucom.2014.02.072
PDF | BiB

@article{CaoKWLLK15,
    author    = {Jingjing Cao and
                 Sam Kwong and
                 Ran Wang and
                 Xiaodong Li and
                 Ke Li and
                 Xiangfei Kong},
    title     = {Class-specific soft voting based multiple extreme learning machines
        ensemble},
    journal   = {Neurocomputing},
    volume    = {149},
    pages     = {275--284},
    year      = {2015},
    url       = {https://doi.org/10.1016/j.neucom.2014.02.072},
    doi       = {10.1016/j.neucom.2014.02.072},
    timestamp = {Wed, 14 Nov 2018 10:26:17 +0100},
    biburl    = {https://dblp.org/rec/bib/journals/ijon/CaoKWLLK15},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

Conference #

Two-Level Stable Matching-Based Selection in MOEA/D
Mengyuan Wu, Sam Kwong, Qingfu Zhang, Ke Li, Ran Wang, Bo Liu
Proc. of 2015 IEEE Conference on Systems, Mans and Cybernetics (SMC’15), IEEE Press: p. 1720–1725, October 2015.
10.1109/SMC.2015.302
PDF | Code | BiB

@inproceedings{WuKZLWL15,
  author    = {Mengyuan Wu and
               Sam Kwong and
               Qingfu Zhang and
               Ke Li and
               Ran Wang and
               Bo Liu},
  title     = {Two-Level Stable Matching-Based Selection in {MOEA/D}},
  booktitle = {2015 {IEEE} International Conference on Systems, Man, and Cybernetics,
               Kowloon Tong, Hong Kong, October 9-12, 2015},
  pages     = {1720--1725},
  publisher = {{IEEE}},
  year      = {2015},
  url       = {https://doi.org/10.1109/SMC.2015.302},
  doi       = {10.1109/SMC.2015.302},
  timestamp = {Wed, 16 Oct 2019 14:14:51 +0200},
  biburl    = {https://dblp.org/rec/conf/smc/WuKZLWL15.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Evolutionary Multiobjective Optimization with Hybrid Selection Principles
Ke Li, Kalyanmoy Deb, Qingfu Zhang
Proc. of 2015 IEEE Congress on Evolutionary Computation (CEC’15), IEEE Press: p. 900–907, May 2015.
10.1109/CEC.2015.7256986
PDF | Code | BiB

@inproceedings{LiDZ15,
  author    = {Ke Li and
               Kalyanmoy Deb and
               Qingfu Zhang},
  title     = {Evolutionary multiobjective optimization with hybrid selection principles},
  booktitle = {{IEEE} Congress on Evolutionary Computation, {CEC} 2015, Sendai, Japan,
               May 25-28, 2015},
  pages     = {900--907},
  publisher = {{IEEE}},
  year      = {2015},
  url       = {https://doi.org/10.1109/CEC.2015.7256986},
  doi       = {10.1109/CEC.2015.7256986},
  timestamp = {Wed, 16 Oct 2019 14:14:52 +0200},
  biburl    = {https://dblp.org/rec/conf/cec/LiDZ15.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{LiZKLW14,
    author    = {Ke Li and
                 Qingfu Zhang and
                 Sam Kwong and
                 Miqing Li and
                 Ran Wang},
    title     = {Stable Matching-Based Selection in Evolutionary Multiobjective Optimization},
    journal   = {{IEEE} Trans. Evolutionary Computation},
    volume    = {18},
    number    = {6},
    pages     = {909--923},
    year      = {2014},
    url       = {https://doi.org/10.1109/TEVC.2013.2293776},
    doi       = {10.1109/TEVC.2013.2293776},
    timestamp = {Sun, 23 Sep 2018 19:44:31 +0200},
    biburl    = {https://dblp.org/rec/bib/journals/tec/LiZKLW14},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

2014 #

Journal #

Stable Matching Based Selection in Evolutionary Multiobjective Optimization
Ke Li, Qingfu Zhang, Sam Kwong, Miqing Li, Ran Wang
IEEE Trans. Evolutionary Computation (TEVC). 18(6): 909–923, 2014.
10.1109/TEVC.2013.2293776
PDF | Code | BiB

@article{LiZKLW14,
    author    = {Ke Li and
                 Qingfu Zhang and
                 Sam Kwong and
                 Miqing Li and
                 Ran Wang},
    title     = {Stable Matching-Based Selection in Evolutionary Multiobjective Optimization},
    journal   = {{IEEE} Trans. Evolutionary Computation},
    volume    = {18},
    number    = {6},
    pages     = {909--923},
    year      = {2014},
    url       = {https://doi.org/10.1109/TEVC.2013.2293776},
    doi       = {10.1109/TEVC.2013.2293776},
    timestamp = {Sun, 23 Sep 2018 19:44:31 +0200},
    biburl    = {https://dblp.org/rec/bib/journals/tec/LiZKLW14},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

Adaptive Operator Selection with Bandits for Multiobjective Evolutionary Algorithm Based on Decomposition
Ke Li, Álvaro Fialho, Sam Kwong, Qingfu Zhang
IEEE Trans. Evolutionary Computation (TEVC). 18(1): 114–130, 2014.
10.1109/TEVC.2013.2239648
PDF | Supp | Code | BiB

@article{LiFKZ14,
    author    = {Ke Li and
                 {\'{A}}lvaro Fialho and
                 Sam Kwong and
                 Qingfu Zhang},
    title     = {Adaptive Operator Selection With Bandits for a Multiobjective Evolutionary
        Algorithm Based on Decomposition},
    journal   = {{IEEE} Trans. Evolutionary Computation},
    volume    = {18},
    number    = {1},
    pages     = {114--130},
    year      = {2014},
    url       = {https://doi.org/10.1109/TEVC.2013.2239648},
    doi       = {10.1109/TEVC.2013.2239648},
    timestamp = {Sun, 23 Sep 2018 19:44:31 +0200},
    biburl    = {https://dblp.org/rec/bib/journals/tec/LiFKZ14},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

A General Framework for Evolutionary Multiobjective Optimization via Manifold Learning
Ke Li, Sam Kwong
Neurocomputing (NEUCOM). 146: 65–74, 2014.
10.1016/j.neucom.2014.03.070
PDF | BiB

@article{LiK14,
    author    = {Ke Li and
                 Sam Kwong},
    title     = {A general framework for evolutionary multiobjective optimization via
        manifold learning},
    journal   = {Neurocomputing},
    volume    = {146},
    pages     = {65--74},
    year      = {2014},
    url       = {https://doi.org/10.1016/j.neucom.2014.03.070},
    doi       = {10.1016/j.neucom.2014.03.070},
    timestamp = {Wed, 14 Nov 2018 10:26:16 +0100},
    biburl    = {https://dblp.org/rec/bib/journals/ijon/LiK14},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

Evolutionary Algorithms with Segment-based Search for Multiobjective Optimization Problems
Miqing Li, Shengxiang Yang, Ke Li, Xiaohui Liu
IEEE Trans. Cybernetics (TCYB). 44(8): 1295–1313, 2014.
10.1109/TCYB.2013.2282503
PDF | BiB

@article{LiYLL14,
    author    = {Miqing Li and
                 Shengxiang Yang and
                 Ke Li and
                 Xiaohui Liu},
    title     = {Evolutionary Algorithms With Segment-Based Search for Multiobjective
        Optimization Problems},
    journal   = {{IEEE} Trans. Cybernetics},
    volume    = {44},
    number    = {8},
    pages     = {1295--1313},
    year      = {2014},
    url       = {https://doi.org/10.1109/TCYB.2013.2282503},
    doi       = {10.1109/TCYB.2013.2282503},
    timestamp = {Wed, 14 Nov 2018 10:31:34 +0100},
    biburl    = {https://dblp.org/rec/bib/journals/tcyb/LiYLL14},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

Conference #

An Indicator-based Selection Multi-Objective Evolutionary Algorithm with Preference for Multi-Class Ensemble
Jingjing Cao, Sam Kwong, Ran Wang, Ke Li
Proc. of 2014 International Conference on Machine Learning and Cybernetics (ICMLC’12), IEEE Press: p. 147–152, July 2014.
10.1109/ICMLC.2014.7009108
PDF | BiB

@inproceedings{CaoKWL14,
    author    = {Jingjing Cao and
                 Sam Kwong and
                 Ran Wang and
                 Ke Li},
    title     = {{AN} indicator-based selection multi-objective evolutionary algorithm
        with preference for multi-class ensemble},
    booktitle = {ICMLC'14: Proc. of the 2014 International Conference on Machine Learning and Cybernetics},
    pages     = {147--152},
    year      = {2014},
    url       = {https://doi.org/10.1109/ICMLC.2014.7009108},
    doi       = {10.1109/ICMLC.2014.7009108},
    timestamp = {Mon, 29 Jan 2018 16:21:37 +0100},
    biburl    = {https://dblp.org/rec/bib/conf/icmlc/CaoKWL14},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{LiKWTM13,
    author    = {Ke Li and
                 Sam Kwong and
                 Ran Wang and
                 Kit{-}Sang Tang and
                 Kim{-}Fung Man},
    title     = {Learning paradigm based on jumping genes: {A} general framework for
        enhancing exploration in evolutionary multiobjective optimization},
    journal   = {Inf. Sci.},
    volume    = {226},
    pages     = {1--22},
    year      = {2013},
    url       = {https://doi.org/10.1016/j.ins.2012.11.002},
    doi       = {10.1016/j.ins.2012.11.002},
    timestamp = {Wed, 14 Nov 2018 10:27:36 +0100},
    biburl    = {https://dblp.org/rec/bib/journals/isci/LiKWTM13},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

2013 #

Journal #

Learning Paradigm Based on Jumping Genes: A General Framework for Enhancing Exploration in Evolutionary Multiobjective Optimization
Ke Li, Sam Kwong, Ran Wang, Kit-Sang Tang, Kim-Fung Man
Information Sciences (INS), 226: 1–22, 2013.
10.1016/j.ins.2012.11.002
PDF | Code | BiB

@article{LiKWTM13,
    author    = {Ke Li and
                 Sam Kwong and
                 Ran Wang and
                 Kit{-}Sang Tang and
                 Kim{-}Fung Man},
    title     = {Learning paradigm based on jumping genes: {A} general framework for
        enhancing exploration in evolutionary multiobjective optimization},
    journal   = {Inf. Sci.},
    volume    = {226},
    pages     = {1--22},
    year      = {2013},
    url       = {https://doi.org/10.1016/j.ins.2012.11.002},
    doi       = {10.1016/j.ins.2012.11.002},
    timestamp = {Wed, 14 Nov 2018 10:27:36 +0100},
    biburl    = {https://dblp.org/rec/bib/journals/isci/LiKWTM13},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

Conference #

Evolving Extreme Learning Machine Paradigm with Adaptive Operator Selection and Parameter Control
Ke Li, Ran Wang, Sam Kwong, Jingjing Cao
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (IJUFKS). 21(supp02): 143–154, 2013.
10.1142/S0218488513400229
PDF | Code | BiB

@ARTICLE{IJUFKS13,
  author = {Ke Li and
            Ran Wang and
            Sam Kwong and
            Jingjing Cao},
  title = {Evolving Extreme Learning Machine Paradigm with Adaptive Operator
	Selection and Parameter Control},
  journal = {International Journal of Uncertainty, Fuzziness and Knowledge-Based
	Systems},
  year = {2013},
  volume = {21},
  pages = {143-154}
}

2012 #

Journal #

Achieving Balance Between Proximity and Diversity in Multi-objective Evolutionary Algorithm
Ke Li, Sam Kwong, Jingjing Cao, Miqing Li, Jinhua Zheng, Ruimin Shen
Information Sciences (INS), 182(1): 220–242, 2012.
10.1016/j.ins.2011.08.027
PDF | BiB

@article{LiKCLZS12,
    author    = {Ke Li and
                 Sam Kwong and
                 Jingjing Cao and
                 Miqing Li and
                 Jinhua Zheng and
                 Ruimin Shen},
    title     = {Achieving balance between proximity and diversity in multi-objective
        evolutionary algorithm},
    journal   = {Inf. Sci.},
    volume    = {182},
    number    = {1},
    pages     = {220--242},
    year      = {2012},
    url       = {https://doi.org/10.1016/j.ins.2011.08.027},
    doi       = {10.1016/j.ins.2011.08.027},
    timestamp = {Wed, 14 Nov 2018 10:27:37 +0100},
    biburl    = {https://dblp.org/rec/bib/journals/isci/LiKCLZS12},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

Conference #

Multi-Objective Differential Evolution with Self-Navigation
Ke Li, Sam Kwong, Ran Wang, Jingjing Cao, Imre J. Rudas
Proc. of 2012 IEEE International Conference on Systems, Mans and Cybernetics (SMC’12), IEEE Press: p. 508–513, October 2012.
10.1109/ICSMC.2012.6377775
PDF | BiB

@inproceedings{LiKWCR12,
    author    = {Ke Li and
                 Sam Kwong and
                 Ran Wang and
                 Jingjing Cao and
                 Imre J. Rudas},
    title     = {Multi-objective differential evolution with self-navigation},
    booktitle = {SMC'12: Proc. of the 2012 {IEEE} International Conference on Systems, Man,
        and Cybernetics},
    pages     = {508--513},
    year      = {2012},
    url       = {https://doi.org/10.1109/ICSMC.2012.6377775},
    doi       = {10.1109/ICSMC.2012.6377775},
    timestamp = {Mon, 29 Jan 2018 16:21:37 +0100},
    biburl    = {https://dblp.org/rec/bib/conf/smc/LiKWCR12},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

A Weighted Voting Method Using Minimum Square Error based on Extreme Learning Machine
Jingjing Cao, Sam Kwong, Ran Wang, Ke Li
Proc. of 2012 International Conference on Machine Learning and Cybernetics (ICMLC’12), IEEE Press: p. 411–414, July 2012.
10.1109/ICMLC.2012.6358949
PDF | BiB

@inproceedings{CaoKWL12,
    author    = {Jingjing Cao and
                 Sam Kwong and
                 Ran Wang and
                 Ke Li},
    title     = {A weighted voting method using minimum square error based on Extreme
        Learning Machine},
    booktitle = {ICMLC'12: Proc. of the 2012 International Conference on Machine Learning and Cybernetics},
    pages     = {411--414},
    year      = {2012},
    url       = {https://doi.org/10.1109/ICMLC.2012.6358949},
    doi       = {10.1109/ICMLC.2012.6358949},
    timestamp = {Mon, 29 Jan 2018 16:21:37 +0100},
    biburl    = {https://dblp.org/rec/bib/conf/icmlc/CaoKWL12},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

2011 #

Conference #

Combining Interpretable Fuzzy Rule-based Classifiers via Multi-Objective Hierarchical Evolutionary Algorithm
Jingjing Cao, Hanli Wang, Sam Kwong, Ke Li
Proc. of 2011 IEEE International Conference on Systems, Mans and Cybernetics (SMC’11), IEEE Press: p. 1771–1776, October 2011.
10.1109/ICSMC.2011.6083928
PDF | BiB

@inproceedings{CaoWKL11,
    author    = {Jingjing Cao and
                 Hanli Wang and
                 Sam Kwong and
                 Ke Li},
    title     = {Combining interpretable fuzzy rule-based classifiers via multi-objective
        hierarchical evolutionary algorithm},
    booktitle = {ICMLC'11: Proc. of the 2011 {IEEE} International Conference on Systems, Man
        and Cybernetics},
    pages     = {1771--1776},
    year      = {2011},
    url       = {https://doi.org/10.1109/ICSMC.2011.6083928},
    doi       = {10.1109/ICSMC.2011.6083928},
    timestamp = {Mon, 27 Nov 2017 16:55:26 +0100},
    biburl    = {https://dblp.org/rec/bib/conf/smc/CaoWKL11},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

JGBL paradigm: A Novel Strategy to Enhance the Exploration Ability of NSGA-II
Ke Li, Sam Kwong, Kim-Fung Man
Proc. of the 13th Annual Conference on Genetic and Evolutionary Computation (GECCO’11), ACM Press: p. 99–100, July 2011.
10.1145/2001858.2001915
PDF | BiB

@inproceedings{LiKM11,
    author    = {Ke Li and
                 Sam Kwong and
                 Kim{-}Fung Man},
    title     = {{JGBL} paradigm: a novel strategy to enhance the exploration ability
        of nsga-ii},
    booktitle = {GECCO'11: Proc. of the 13th Annual Genetic and Evolutionary Computation Conference},
    pages     = {99--100},
    year      = {2011},
    url       = {https://doi.org/10.1145/2001858.2001915},
    doi       = {10.1145/2001858.2001915},
    timestamp = {Tue, 06 Nov 2018 11:06:35 +0100},
    biburl    = {https://dblp.org/rec/bib/conf/gecco/LiKM11},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

Multi-Objective Differential Evolution with Adaptive Control of Parameters and Operators
Ke Li, Álvaro Fialho, Sam Kwong
Proc. of the 5th International Conference on Learning and Intelligent OptimizatioN (LION’11), Springer Verlag, LNCS, p. 473–487, January 2011.
10.1007/978-3-642-25566-3_37
PDF | BiB

@inproceedings{LiFK11,
  author    = {Ke Li and
               {\'{A}}lvaro Fialho and
               Sam Kwong},
  title     = {Multi-Objective Differential Evolution with Adaptive Control of Parameters
               and Operators},
  booktitle = {Learning and Intelligent Optimization - 5th International Conference,
               {LION} 5, Rome, Italy, January 17-21, 2011. Selected Papers},
  series    = {Lecture Notes in Computer Science},
  volume    = {6683},
  pages     = {473--487},
  publisher = {Springer},
  year      = {2011},
  url       = {https://doi.org/10.1007/978-3-642-25566-3\_37},
  doi       = {10.1007/978-3-642-25566-3\_37},
  timestamp = {Tue, 14 May 2019 10:00:51 +0200},
  biburl    = {https://dblp.org/rec/conf/lion/LiFK11.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

2010 #

Journal #

A Novel Slicing Based Algorithm to Calculate Hypervolume for Multi-Objective Optimization Problems
Ke Li, Jinhua Zheng, Miqing Li, Cong Zhou, Hui Lv
ICIC Express Letters: An International Journal of Research and Surveys, 4(4): 1113–1120, 2010.
PDF | BiB

@article{LiZLZL10,
  author    = {Ke Li and
               Jinhua Zheng and
               Miqing Li and
               Cong Zhou and
               Hui Lv},
  title     = {A Novel Slicing Based Algorithm to Calculate Hypervolume for Multi-Objective Optimization Problems},
  journal   = {ICIC Express Letters: An International Journal of Research and Surveys},
  volume    = {4},
  number    = {4},
  year      = {2010},
  pages     = {1133-1120}
}

Conference #

Enhancing Diversity for Average Ranking Method in Evolutionary Many-Objective Optimization
Miqing Li, Jinhua Zheng, Ke Li, Qizhao Yuan, Ruimin Shen
Proc. of the 11th International Conference on Parallel Problem Solving from Nature (PPSN’10), Springer Verlag, LNCS, volume 6238: p. 647–656, September 2010.
10.1007/978-3-642-15844-5_65
PDF | BiB

@inproceedings{LiZLYS10,
    author    = {Miqing Li and
                 Jinhua Zheng and
                 Ke Li and
                 Qizhao Yuan and
                 Ruimin Shen},
    title     = {Enhancing Diversity for Average Ranking Method in Evolutionary Many-Objective
        Optimization},
    booktitle = {PPSN'10: Proc. of 11th International Conference on Parallel Problem Solving from Nature},
    pages     = {647--656},
    year      = {2010},
    url       = {https://doi.org/10.1007/978-3-642-15844-5\_65},
    doi       = {10.1007/978-3-642-15844-5\_65},
    timestamp = {Wed, 14 Nov 2018 10:55:35 +0100},
    biburl    = {https://dblp.org/rec/bib/conf/ppsn/LiZLYS10},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

A Grid-based Fitness Strategy for Evolutionary Many-Objective Optimization
Miqing Li, Jinhua Zheng, Ruimin Shen, Ke Li, Qizhao Yuan
Proc. of the 12th Annual Conference on Genetic and Evolutionary Computation (GECCO’10), ACM Press: p. 463–470, July 2010.
10.1145/1830483.1830570
PDF | BiB

@inproceedings{LiZSLY10,
  author    = {Miqing Li and
               Jinhua Zheng and
               Ruimin Shen and
               Ke Li and
               Qizhao Yuan},
  title     = {A grid-based fitness strategy for evolutionary many-objective optimization},
  booktitle = {Genetic and Evolutionary Computation Conference, {GECCO} 2010, Proceedings,
               Portland, Oregon, USA, July 7-11, 2010},
  pages     = {463--470},
  publisher = {{ACM}},
  year      = {2010},
  url       = {https://doi.org/10.1145/1830483.1830570},
  doi       = {10.1145/1830483.1830570},
  timestamp = {Tue, 06 Nov 2018 11:06:40 +0100},
  biburl    = {https://dblp.org/rec/conf/gecco/LiZSLY10.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

2009 #

Conference #

A Novel Algorithm for Non-dominated Hypervolume-based Multiobjective Optimization
Ke Li, Jinhua Zheng, Miqing Li, Cong Zhou, Hui Lv
Proc. of 2009 IEEE International Conference on Systems, Mans and Cybernetics (SMC’09), IEEE Press: p. 5220–5226, December 2009.
10.1109/ICSMC.2009.5345983
PDF | BiB

@inproceedings{LiZLZL09,
    author    = {Ke Li and
                 Jinhua Zheng and
                 Miqing Li and
                 Cong Zhou and
                 Hui Lv},
    title     = {A Novel Algorithm for Non-dominated Hypervolume-based Multiobjective
        Optimization},
    booktitle = {SMC'09: Proc. of the 2009 {IEEE} International Conference on Systems, Man
        and Cybernetics},
    pages     = {5220--5226},
    year      = {2009},
    url       = {https://doi.org/10.1109/ICSMC.2009.5345983},
    doi       = {10.1109/ICSMC.2009.5345983},
    timestamp = {Tue, 28 Nov 2017 16:18:09 +0100},
    biburl    = {https://dblp.org/rec/bib/conf/smc/LiZLZL09},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

An Spanning Tree Based Method For Pruning Non-Dominated Solutions in Multi- Objective Optimization Problems
Miqing Li, Jinhua Zheng, Ke Li, Jun Wu, Guixia Xiao
Proc. of 2009 IEEE International Conference on Systems, Mans and Cybernetics (SMC’09), IEEE Press: p. 4882–4887, December 2009.
10.1109/ICSMC.2009.5346322
PDF | BiB

@inproceedings{LiZLWX09,
    author    = {Miqing Li and
                 Jinhua Zheng and
                 Ke Li and
                 Jun Wu and
                 Guixia Xiao},
    title     = {An Spanning Tree Based Method For Pruning Non-Dominated Solutions
        in Multi-Objective Optimization Problems},
    booktitle = {SMC'09: Proc. of the 2009 {IEEE} International Conference on Systems, Man
        and Cybernetics},
    pages     = {4882--4887},
    year      = {2009},
    url       = {https://doi.org/10.1109/ICSMC.2009.5346322},
    doi       = {10.1109/ICSMC.2009.5346322},
    timestamp = {Tue, 28 Nov 2017 16:18:09 +0100},
    biburl    = {https://dblp.org/rec/bib/conf/smc/LiZLWX09},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

Objective Reduction based on the Least Square Method for Large-dimensional Multiobjective Optimization Problem
Cong Zhou, Jinhua Zheng, Ke Li, Hui Lv
Proc. of the 5th International Conference on Natural Computation (ICNC’09), IEEE Press: p. 350–354, August 2009.
10.1109/ICNC.2009.40
PDF | BiB

@inproceedings{ZhouZLL09,
    author    = {Cong Zhou and
                 Jinhua Zheng and
                 Ke Li and
                 Hui Lv},
    title     = {Objective Reduction Based on the Least Square Method for Large-Dimensional
        Multi-objective Optimization Problem},
    booktitle = {ICNC'09: Proc. of the 5th International Conference on Natural Computation},
    pages     = {350--354},
    year      = {2009},
    url       = {https://doi.org/10.1109/ICNC.2009.40},
    doi       = {10.1109/ICNC.2009.40},
    timestamp = {Tue, 28 Nov 2017 16:18:09 +0100},
    biburl    = {https://dblp.org/rec/bib/conf/icnc/ZhouZLL09},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

The Convergence Analysis of Genetic Algorithm based on Space Mating
Hui Lv, Jinhua Zheng, Jun Wu, Cong Zhou, Ke Li
Proc. of the 5th International Conference on Natural Computation (ICNC’09), IEEE Press: p. 557–562, August 2009.
10.1109/ICNC.2009.39
PDF | BiB

@inproceedings{LvZWZL09,
    author    = {Hui Lv and
                 Jinhua Zheng and
                 Jun Wu and
                 Cong Zhou and
                 Ke Li},
    title     = {The Convergence Analysis of Genetic Algorithm Based on Space Mating},
    booktitle = {ICNC'09: Proc. of 5th International Conference on Natural Computation},
    pages     = {557--562},
    year      = {2009},
    url       = {https://doi.org/10.1109/ICNC.2009.39},
    doi       = {10.1109/ICNC.2009.39},
    timestamp = {Tue, 28 Nov 2017 16:18:09 +0100},
    biburl    = {https://dblp.org/rec/bib/conf/icnc/LvZWZL09},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}

An Improved Multi-objective Evolutionary Algorithm based on Differential Evolution
Ke Li, Jinhua Zheng
Proc. of 2009 WRI World Congress on Computer Science and Information Engineering (CSIE’09), IEEE Press: p. 825–830, March 2009.
10.1109/CSIE.2009.181
PDF | BiB

@inproceedings{LiZZL09,
    author    = {Ke Li and
                 Jinhua Zheng and
                 Cong Zhou and
                 Hui Lv},
    title     = {An Improved Differential Evolution for Multi-objective Optimization},
    booktitle = {CSIE'09: Proc. of the 2009 {WRI} World Congress on Computer Science and Information Engineering},
    pages     = {825--830},
    year      = {2009},
    url       = {https://doi.org/10.1109/CSIE.2009.181},
    doi       = {10.1109/CSIE.2009.181},
    timestamp = {Tue, 28 Nov 2017 16:18:09 +0100},
    biburl    = {https://dblp.org/rec/bib/conf/csie/LiZZL09},
    bibsource = {dblp computer science bibliography, https://dblp.org}
}