.png){kind=icon}
返回
A Review of Evolutionary Multimodal Multiobjective Optimization
.png){kind=icon}
OA
AI
DOI：10.1109/TEVC.2019.2909744.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
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.
Keyword:
Evolutionary algorithms
multimodal multiobjective optimization
performance indicators
test problems
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
12
论文数:
1.9K
被引数:
2.4W
机构
暂无机构信息
引用论文
Refining Estimates of Bird Collision and Electrocution Mortality at Power Lines in the United States.png)
PLoS ONEOAAI
PLoS ONEIF0
OAAI分享收藏分享收藏
分享收藏
查看更多内容