Description
In multiobjective optimization problems, there may exist two or more global or local Pareto optimal sets (PSs) and some of them may correspond to the same Pareto Front (PF). These problems are defined as multimodal multiobjective optimization problems (MMOPs).
It is necessary to study multimodal multi-objective optimization. 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.
This special session aims to promote the research on multimodal multiobjective optimization (MMO) and hence motivate researchers to solve real-world problems. Given that the study of MMO is still in its emerging stages, although many real-world applications are likely to be amenable to treatment as an MMOP, to date the researchers have ignored such formulations.
The MMO related special sessions were organized in CEC2019, CEC2020 and CEC2021.The reason why another special session is needed is that the themes of CEC2020 and CEC2021 are not the same as original MMO. In CEC2020, a special type of MMO (MMO with local and global PSs) is strengthened. In CEC2021, MMO path planning problem is used. In recent years, MMO is becoming a popular research topic and many related MMO algorithms have been proposed. Another special session is needed to gather these researchers together.
Scope
This special session is devoted to the novel approaches, algorithms and techniques for solving MMOPs. The main topics of the special session are:
• 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
• Applications
Submission Guidelines
Please follow the submission guideline from the IEEE WCCI 2022 Submission Website. Special session papers are treated the same as regular conference papers. Please specify that your paper is for the novel approaches, algorithms and techniques for solving MMOPs. All papers accepted and presented at IEEE WCCI 2022 will be included in the conference proceedings published by IEEE Xplore, which are typically indexed by EI.
Important Dates
Paper submission: 14 February 2022(11:59 PM AoE) STRICT DEADLINE
Important: The title and abstract has to be registered by 31 January, 2022.
Notification of acceptance: April 26, 2022
Final paper submission: May 23, 2022
Organizers
Jing Liang (liangjing@zzu.edu.cn)
Caitong Yue (zzuyuecaitong@163.com)
Kunjie Yu (yukunjie@zzu.edu.cn)
Ponnuthurai Nagaratnam Suganthan (epnsugan@ntu.edu.sg)