Matlab code for "Coevolutionary Framework for Generalized Multimodal Multi-objective Optimization"
Copy the folder to PlatEMO\Algorithms\Multi-objective optimization. Please note that, the latest version of PlatEMO(v4.2) contains the source code of CoMMEA. Run PlatEMO and choose CoMMEA Enjoy!
W. H. Li, X. Y. Yao, K. W. Li, R. Wang, T. Zhang, and L. Wang, “Coevolutionary framework for generalized multimodal multi-objective optimization,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 7, pp. 1544–1556, Jul. 2023. doi: 10.1109/JAS.2023.123609
@articleInfo{JAS-2023-0100, title = "Coevolutionary Framework for Generalized Multimodal Multi-Objective Optimization", journal = "IEEE/CAA Journal of Automatica Sinica", volume = "10", number = "JAS-2023-0100, pages = "1544", year = "2023", note = "", issn = "2329-9266", doi = "10.1109/JAS.2023.123609", url = "https://www.ieee-jas.net/en/article/doi/10.1109/JAS.2023.123609", author = "Wenhua Li","Xingyi Yao","Kaiwen Li","Rui Wang","Tao Zhang","Ling Wang", keywords = "Coevolution","$\epsilon$-dominance","generalized multimodal multi-objective optimization (MMO)","local convergence","two archives",}
CoMMEA require larger function evaluations to obtain better performance. Please set epsilon to 0 for MMOPs without local Pareto fronts. If you have any problem, please do not hesitate to contact me. Email:liwenhua1030@aliyun.com