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A Review of Evolutionary Multi-modal Multi-objective Optimization
IEEE Transactions on Evolutionary Computation ( IF 11.7 ) Pub Date : 2020-02-01 , DOI: 10.1109/tevc.2019.2909744
Ryoji Tanabe , Hisao Ishibuchi

Multimodal multiobjective optimization aims to find all Pareto optimal solutions, including overlapping solutions in the objective space. Multimodal multiobjective 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 “multimodal multiobjective optimization.” To address this issue, this letter reviews the existing studies of evolutionary multimodal multiobjective optimization, including studies published under names that are different from multimodal multiobjective optimization. Our review also clarifies open issues in this research area.

中文翻译:

进化多模态多目标优化综述

多模态多目标优化旨在找到所有帕累托最优解,包括目标空间中的重叠解。自 2005 年以来,进化计算界一直在研究多模态多目标优化。 然而,很难调查该领域的现有研究,因为它们是独立进行的,并且没有明确使用术语“多模态多目标优化”。为了解决这个问题,这封信回顾了进化多模态多目标优化的现有研究,包括以不同于多模态多目标优化的名称发表的研究。我们的评论还澄清了该研究领域的未决问题。
更新日期:2020-02-01
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