MMEA-WI: Weighted Indicator-Based Evolutionary Algorithm for Multimodal Multi-objective Optimization
Matlab code for "Weighted indicator-based evolutionary algorithm for multimodal multi-objective optimization"
W. Li, T. Zhang, R. Wang, and H. Ishibuchi, "Weighted Indicator-Based Evolutionary Algorithm for Multimodal Multiobjective Optimization," IEEE Transactions on Evolutionary Computation, vol. 25, no. 6, pp. 1064–1078, 2021. DOI: 10.1109/TEVC.2021.3078441
The paper PDF is included in this repository.
Copy the folder to PlatEMO\Algorithms\Multi-objective optimization. Please note that, the latest version of PlatEMO(v4.2) contains the source code of MMEAWI. Run PlatEMO and choose MMEAWI Enjoy!
@ARTICLE{9426953,
author={Li, Wenhua and Zhang, Tao and Wang, Rui and Ishibuchi, Hisao},
journal={IEEE Transactions on Evolutionary Computation},
title={Weighted Indicator-Based Evolutionary Algorithm for Multimodal Multiobjective Optimization},
year={2021},
volume={25},
number={6},
pages={1064-1078},
doi={10.1109/TEVC.2021.3078441}}
In the later research, we found MMEA-WI shows excellent performance on dealing with MMOPs with many decision variables. Please check. If you have any problem, please do not hesitate to contact me. Email:liwenhua1030@aliyun.com