Note

Add the sparse multi-objective evolutionary algorithm SparseEA. Add the sparse multi-objective test suite SMOP1-SMOP8. Add four sparse multi-objective optimization problems, i.e., feature selection, pattern mining, critical node detection, and neural network training. Add the diversity metric CPF (i.e., coverage over Pareto front). Add the irregular multi-objective test suite IMOP1-IMOP8.

Copyright

The Copyright of the PlatEMO belongs to the BIMK group. You are free to use the PlatEMO for research purposes. All publications which use this platform or any code in the platform should acknowledge the use of "PlatEMO" and reference "Ye Tian, Ran Cheng, Xingyi Zhang, and Yaochu Jin, PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization [Educational Forum], IEEE Computational Intelligence Magazine, 2017, 12(4): 73-87".

@article{PlatEMO,
  title={{PlatEMO}: A {MATLAB} platform for evolutionary multi-objective optimization},
  author={Tian, Ye and Cheng, Ran and Zhang, Xingyi and Jin, Yaochu},
  journal={IEEE Computational Intelligence Magazine},
  volume={12},
  number={4},
  pages={73--87},
  year={2017},
}