Publications

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 #

  • 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

  • Batched Data-Driven Evolutionary Multi-Objective Optimization Based on Manifold Interpolation
    Ke Li, Renzhi Chen+
    CoRR abs/2109.05639 | September 2021
    PDF | Supp | BiB

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

  • 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

In press #

  • Preference based Multi-Objective Reinforcement Learning for Multi-Microgrid System Optimization Problem in Smart Grid
    Jiangjiao Xu, Ke Li
    Memetic Computing (MC)
    PDF | BiB

  • 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
    PDF | BiB

  • 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
    PDF | Code | Supp | BiB

  • 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
    PDF | BiB

  • 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)
    10.1109/TEVC.2021.3095313
    PDF | Code | BiB

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

  • 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

  • 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

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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

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

  • 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

  • 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

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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

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

  • 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

  • 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

  • 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

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

  • 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

  • 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

  • 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

  • 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

  • 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

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

  • 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

  • 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

  • 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

  • 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

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

  • 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

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

  • 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

  • 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

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

  • 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

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

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

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

  • 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

  • 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

  • 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

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

  • 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

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

  • 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

  • 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

  • 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

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

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

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

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

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

  • 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

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

  • 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

  • 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

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

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

  • 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

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

  • 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

  • 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

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