The CEC2019 has been held in Wellington, New Zealand. Please refer to "Problem Definitions and Evaluation Criteria for the CEC 2019 Special Session on Multimodal Multiobjective Optimization" for details of the MMO benchmark functions. The codes of these benchmark functions are also available.The results of the competition on Multimodal Multiobjective Optimization (http://www5.zzu.edu.cn/ecilab/info/1036/1163.htm) are now published as follows.
Winner: MMO-Clustering PSO: Weiwei Zhang, Guoqing Li, Zhengzhou University of Light Industry, Zhengzhou, China
Runner-Up: CEOA: Wu Lin, Qiuzhen Lin Zexuan Zhu, Shenzhen University
Third Place: NMOHSA: Boyang Qu, Guosen Li, Qianqian Guo, Xuzhao Chai, Zhongyuan University of Technology
Congratulations to the winners, and thank you for your active participation. For details and results of the participators, please refer to the attachment “CEC-C01 Multimodal Multiobjective Optimization.pdf”.
The results of all participators have been verified by the organizers. Some of the codes and results are shown in the attachment "Results and Codes of CEC2019-C01". Since some of the articles related to these algorithms have not yet been published, in order to protect the privacy of these algorithms, the codes are temporarily not published. They will be published after the article is accepted by some publishers. If you are interested in these algorithms you can contact the authors directly.
I look forward to your new achievements in multimodal multiobjective optimization!