English

A Review of Evolutionary Multi-modal Multi-objective Optimization

Neural and Evolutionary Computing 2020-09-29 v1

Abstract

Multi-modal multi-objective optimization aims to find all Pareto optimal solutions including overlapping solutions in the objective space. Multi-modal multi-objective optimization has been investigated in the evolutionary computation community since 2005. However, it is difficult to survey existing studies in this field because they have been independently conducted and do not explicitly use the term "multi-modal multi-objective optimization". To address this issue, this paper reviews existing studies of evolutionary multi-modal multi-objective optimization, including studies published under names that are different from "multi-modal multi-objective optimization". Our review also clarifies open issues in this research area.

Keywords

Cite

@article{arxiv.2009.13347,
  title  = {A Review of Evolutionary Multi-modal Multi-objective Optimization},
  author = {Ryoji Tanabe and Hisao Ishibuchi},
  journal= {arXiv preprint arXiv:2009.13347},
  year   = {2020}
}

Comments

This is an accepted version of a paper published in the IEEE Transactions on Evolutionary Computation

R2 v1 2026-06-23T18:50:55.274Z