The CEC2021 has been held in Kraków, Poland. Please refer to " Problem Definitions and Evaluation Criteria for the CEC 2021 on Multimodal Multiobjective Path Planning Optimization" for details of the MMPPO benchmark functions. The codes of these benchmark functions are also available. The results of the competition on Multimodal Multiobjective Path Planning Optimization (http://www5.zzu.edu.cn/ecilab/info/1036/1251.htm) are now published as follows.
Winner: MOASTAR: Bo Jin, Shenzhen University
Runner-Up: MACOSX: Jiaqi Zhao, Zhijie Jia, Yong Zhou, Ruihao Zhang, Zeming Xie, Zikang Xu, Yuxin Li, Di Zhang, China University of Mining and Technology
Third Place: MOEASES: Wenhua Li, Nanjiang Dong, Rui Wang, National University of Defense Technology
Congratulations to the winners, and thank you for your active participation. For details and results of the participators, please refer to the attachment "2021_CEC_Multimodal Multiobjective Path Planning 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 CEC2021_MMPPO.zip". 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 Path Planning Optimization!