论文标题

进化多模式多目标优化的综述

A Review of Evolutionary Multi-modal Multi-objective Optimization

论文作者

Tanabe, Ryoji, Ishibuchi, Hisao

论文摘要

多模式多目标优化旨在找到所有帕累托最佳解决方案,包括目标空间中的重叠解决方案。自2005年以来,已经在进化计算社区中研究了多模式的多目标优化。但是,很难调查该领域的现有研究,因为它们已经独立进行,并且没有明确使用“多模式多模式多目标优化”一词。为了解决这个问题,本文回顾了对进化多模式多目标优化的现有研究,其中包括以名称以不同于“多模式多目标多目标优化”不同的名称发表的研究。我们的评论还阐明了该研究领域的公开问题。

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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