Provisionally Accepted IEEE CEC 2019 Competitions





CEC-C01 Multimodal Multiobjective Optimization


Organized by Jing Liang, Boyang Qu and Dunwei Gong

Supported by IEEE CIS ISATC Task Force on Transfer Learning and Transfer Optimization

Scope and Topics

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.

The aim of this special session is to promote the research on MMO and hence motivate researchers to formulate real-world practical problems. Given that the study of multimodal multiobjective optimization (MMO) is still in its emerging stages, although many real-word applications are likely to be amenable to treatment as a MMOP, to date the researchers have ignored such formulations:

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 instructions

Papers should be submitted following the instructions at the IEEE CEC 2019 web site. Please select the main research topic as the Special Session on “multimodal multiobjective optimization”. Accepted papers will be included and published in the conference proceedings.

Submission deadline

7th Jan 2019, 23:59 (GMT)