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A Review of Evolutionary Multi-modal Multi-objective Optimization
September 28, 2020 · Declared Dead · 🏛 IEEE Transactions on Evolutionary Computation
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Authors
Ryoji Tanabe, Hisao Ishibuchi
arXiv ID
2009.13347
Category
cs.NE: Neural & Evolutionary
Citations
182
Venue
IEEE Transactions on Evolutionary Computation
Last Checked
1 month ago
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.
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