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Two-Stage Multi-Objective Evolution Strategy for Constrained Multi-Objective Optimization

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CMOES

Two-Stage Multi-Objective Evolution Strategy for Constrained Multi-Objective Optimization

We present a two-stage constrained multi-objective evolutionary algorithm for solving CMOPs based on evolution strategy. In the proposed algorithm, a parameter-less constraint handling technique is designed for constrained multi-objective optimization.

https://ieeexplore.ieee.org/document/9869698

Kai Zhang,Zhiwei Xu,Gary G. Yen,Ling Zhang,Two-Stage Multi-Objective Evolution Strategy for Constrained Multi-Objective Optimization,IEEE Transactions on Evolutionary Computation,2022,DOI: 10.1109/TEVC.2022.3202723

The program CMOES.exe is generated by the source code in our research paper. You are free to use the Program for research purposes.

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Now, the paper is still under review. The paper and source code will be available when our paper is accepted. : ) Copyright (c) 2018-2022 MaOES Group. You are free to use the Programe for research purposes.

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