EMOC stands for Evolutionary Multi-objective Optimization in C++ which is a framework for single-objective and multi-objective optimization.
For more information about installation and usage, please refer to the document site.
Rich algorithms and problems
EMOC implemented about 30 algorithms and more than 80 test problems which both include single-objective and multi-objective types.
Developed in C++ and Cross-platform
All the source code of EMOC are wrote in C++. So the running efficiency is guaranteed when comparing other implementation with python, java or matlab. We also provide cross-platform compatibility for users with different operator systems.
EMOC provides a user-friendly GUI with the function of configuring parameters of once-run and experiments without writing a single line of code.
Various Optimization Types
EMOC supports unconstraint optimization, constraint optimization and combinatorial optimization (including binary encoding and permutation encoding).
Save into Excel or Latex
Users can save the experiment results of EMOC in the format of Latex.