4.7 Review

A Review of Evolutionary Multimodal Multiobjective Optimization

期刊

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TEVC.2019.2909744

关键词

Evolutionary algorithms; multimodal multiobjective optimization; performance indicators; test problems

资金

  1. Program for Guangdong Introducing Innovative and Enterpreneurial Teams [2017ZT07X386]
  2. Shenzhen Peacock Plan [KQTD2016112514355531]
  3. Science and Technology Innovation Committee Foundation of Shenzhen [ZDSYS201703031748284]
  4. Program for University Key Laboratory of Guangdong Province [2017KSYS008]
  5. National Natural Science Foundation of China [61876075]

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据