多目标优化
情态动词
进化计算
进化算法
计算机科学
数学优化
最优化问题
帕累托原理
领域(数学)
人工智能
数学
机器学习
化学
高分子化学
纯数学
作者
Ryoji Tanabe,Hisao Ishibuchi
标识
DOI:10.1109/tevc.2019.2909744
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI