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Evolutionary Multiobjective Optimization Implementation in C++11

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# EMOC: Evolutionary Multi-objective Optimization in C++

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EMOC stands for **E**volutionary **M**ulti-objective **O**ptimization 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](https://cola-laboratory.github.io/EMOCDoc/).

## Features

- **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.

- **Friendly GUI**

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 Excel or Latex.

## 3rd Party Libraries

- [GLFW](https://www.glfw.org/)
- [ALGLIB](https://www.alglib.net/)
- [Dear Imgui](https://github.com/ocornut/imgui)
- [pybind11](https://github.com/pybind/pybind11)
- [cxxopts](https://github.com/jarro2783/cxxopts)
- [stb_image](https://github.com/nothings/stb)
- [Gnuplot](http://www.gnuplot.info/)
- [CMake](https://cmake.org/)
- [Font-Awesome](https://github.com/FortAwesome/Font-Awesome)
- [glpk](https://www.gnu.org/software/glpk/)
- [lpsolve](https://sourceforge.net/projects/lpsolve/)
- [Armadillo](https://arma.sourceforge.net/)

EMOC

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