大家好！我们在IEEE进化计算国际会议（CEC）上举办了“高维多模态多目标优化”的Special Session和Competition，将接收关于解决高维多模态多目标优化问题的论文，请大家多多赐稿！
Paper acceptance notifications: March 15, 2026
Conference dates: June 22-26, 2026
投稿时请选择CEC-SS：Special Session on Higher Dimension Multimodal Multiobjective Optimization
欢迎各位专家学者学生们踊跃投稿！谢谢！
不投稿也可以直接参加竞赛！
CEC是IEEE计算智能学会每年主办的国际会议，汇聚了来自世界各国的进化计算专家学者，并且有很多精彩的keynotes，tutorials和panel discussions。该会议论文集将被IEEE Xplore和EI收录。
今年CEC将在美丽的荷兰马斯特里赫特市举办，是非常好的参会机会！
以下是Call for paper详情，如有任何问题，请联系Caitong Yue (zzuyuecaitong@163.com)
详细信息如下：
Call for Papers:
Special Session and Competition on Higher Dimension Multimodal Multiobjective Optimization
Jun 8-12, 2025, MECC Maastricht, the Netherlands
https://attend.ieee.org/wcci-2026/special-sessions/
Overview:
Multimodal multiobjective optimization (MMO) is a popular topic in evolutionary optimization. With the rapid emergence of large scale structure design, scheduling and machine learning applications, optimization tasks routinely involve tens of hundreds of decision variables and often possesses two or more distinct Pareto optimal sets (PSs) in the decision space. Such multimodal multiobjective optimization problems imply that multiple equivalent PSs corresponding to the same Pareto Front (PF), current multimodal multiobjective evolutionary algorithms (MMOEAs) are primarily evaluated on the benchmarks , in which the dimension of decision variables is limited to 2-10. Therefore, the comprehensive performance of current MMOEAs may not evaluated, such as the convergence performance in the objective space to obtain a high quality Pareto optimal solutions and the diversity performance in the higher dimension decision space. Consequently, it is necessary to investigate higher dimension multimodal multiobjective optimization with these characteristics.
Aims and scope:
The theme of this special session is to explore the characteristics of MMOPs with higher dimensional decision variables and to design effective multimodal multiobjective optimization evolutionary algorithms (MMOEAs). It aims to study new theories and applications of MMOEAs that address the practical characteristics of large-scale decision variables.
This special session will bring together researchers from around the world to discuss the latest advancements in the field and serve as an important forum for showcasing cutting-edge research results.
Authors are invited to submit their original works to this special session. Topics related to all aspects of evolutionary computation for multimodal multiobjective optimization methods and applications are welcome.
Important dates:
Paper submission deadline: January 31, 2026
Paper acceptance notifications: March 15, 2026
Conference dates: June 22-26, 2026
All submissions will be refereed by experts in the fields and ranked based on the criteria of originality, significance, quality, and clarity.
Note！
If you do not intend to submit a paper, you can also enter the competition directly by submitting your results in the format required in the technical reports.
Technical Reports: https://www5.zzu.edu.cn/ecilab/info/1036/1374.htm
Competition results submission date: Early May, 2026
The results please send to Caitong Yue: zzuyuecaitong@163.com
Organizers：
Prof. Jing Liang
Email: liangjing@zzu.edu.cn
Prof. Caitong Yue
Email: yuecaitong@zzu.edu.cn
Prof. Kunjie Yu
Email: yukunjie@zzu.edu.cn
Prof. Ying Bi
Email: yingbi@zzu.edu.cn
Prof. Hui Song
Email: hui.song@rmit.edu.au