Call for Participants
Multimodal Multiobjective Optimization (MMO)
Special Session & Competition in IEEE Congress on Evolutionary Computation 2020
(Special Session-No. S17 & Competition-No.CEC-C7)
https://wcci2020.org/
Aim
In multiobjective optimization problems, there may exist two or more distinct Pareto optimal sets (PSs) corresponding to the same Pareto Front (PF). These problems are defined as multimodal multiobjective optimization problems (MMOPs). Arguably, finding one of these multiple PSs may be sufficient to obtain an acceptable solution for some problems. However, failing to identify more than one of the PSs may prevent the decision maker from considering solution options that could bring about improved performance.
A suite of MMOPs were released in CEC 2019. However, the problems with and without local PSs are mixed together and the number of local or global PSs need to be obtained is not specified. In this Special Session & Competition, the problems with and without local PSs are separated and the number of local or global PSs need to be obtained is specified. If several local or global PSs need to be obtained, the population size is increased correspondingly.
The organizers hope that the Special Session & Competition will motivate other researchers to promote the design of novel algorithms to solving MMOPs and the method for MMO test problems.
Scope
Topics of interest may cover, but are not limited to
- Evolutionary algorithms for multimodal multiobjective optimization
- Hybrid algorithms for multimodal multiobjective optimization
- Adaptable algorithms for multimodal multiobjective optimization
- Surrogate techniques for multimodal multiobjective optimization
- Machine learning methods helping to solve multimodal multiobjective optimization problems
- Memetic computing for multimodal multiobjective optimization
- Niching techniques for multimodal multiobjective optimization
- Parallel computing for multimodal multiobjective optimization
- Design methods for multimodal multiobjective optimization test problems
- Decision making in multimodal multiobjective optimization
- Related theory analysis
- Related Applications
Submissions
Paper and Results Submissions
Papers should be submitted following the instructions at the WCCI 2020 web site. Please select the main research topic as the Special Session on “S17: Special Session Associated with CEC Competitions C1, C2 and C7”. Accepted papers will be included and published in the conference proceedings.
Submission Deadline: 15 January, 2020
Submission Deadline: Extended to 30 January, 2020
Paper Acceptance Notification Date: 15 March 2020
Information on the format and templates for papers can be found here:
https://ieee-cis.org/conferences/cec2020/upload.php
Please test your algorithm on the test problems in "CEC2020 MMO test problems". The results, codes and the description for your algorithm and results need to be submitted to zzuyuecaitong@163.com. Please format your results according to the Technical Report "J.J. Liang, P. N. Suganthan, B. Y. Qu, D. W. Gong and C.T. Yue, “Problem Definitions and Evaluation Criteria for the CEC 2020 Special Session on Multimodal Multiobjective Optimization”.
Organizers
P. N. Suganthan
Nanyang Technological University, Singapore
Email: epnsugan@ntu.edu.sg
Jing Liang
Zhengzhou University, Zhengzhou, China
Email: liangjing@zzu.edu.cn
Boyang Qu
Zhongyuan University of Technology, Zhengzhou, China
Email: qby1984@hotmail.com
Dunwei Gong
China University of Mining and Technology, Xuzhou, China
Email: dwgong@vip.163.com
The codes of CEC2020 MMO test problems can download from https://github.com/P-N-Suganthan/2020-Multimodal-Multi-Objective-Benchmark.
Please participate in the competition with submitting one paper to the Special Session “CEC-14 Special Session on Associated with CEC 2020 Numerical Optimization Competitions”.