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Handling Imbalance Between Convergence and Diversity in the Decision Space in Evolutionary Multi-Modal Multi-Objective Optimization (IEEE Transactions on Evolutionary Computation)

Home Page: https://ieeexplore.ieee.org/document/8821318

MATLAB 100.00%

cpdea's Introduction

CPDEA

Copyright Yiping Liu

These are the codes of the imbalanced distance minimization problems (IDMP) and the evolutionary algorithm using a convergence-penalized density method (CPDEA) proposed in "Yiping Liu, Hisao Ishibuchi, Gary G. Yen, Yusuke Nojima, and Naoki Masuyama, Handling Imbalance Between Convergence and Diversity in the Decision Space in Evolutionary Multi-Modal Multi-Objective Optimization, IEEE Transactions on Evolutionary Computation, 2020, 24(3), pp.551-565, DOI: 10.1109/TEVC.2019.2938557".

The codes use PlatEMO (v3.1) published in "Ye Tian et al., PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization, IEEE Computational Intelligence Magazine, 2017, 12(4): 73-87".

Please contact [email protected] if you have any problem.

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