期刊论文

Fu, Liuwei;Zheng, Jinhua

英文

Applied Soft Computing

1568-4946

2018

67

596-609

10.1016/j.asoc.2018.02.031

The authors wish to thank the support of the National Natural Science Foundation of China (Grant No. 61502408, 61673331, 61772178), the Education Department Major Project of Hunan Province (Grant No. 17A212), CERNET Innovation Project (Grant No. NGII20150302), the Science and Technology Plan Project of Hunan Province (Grant No. 2016TP1020), the Provinces and Cities Joint Foundation Project (Grant No. 2017JJ4001).

本校为其他机构

Evolutionary optimization algorithms, a meta-heuristic approach, often encounter considerable challenges in many-objective optimization problems (MaOPs). The Pareto-based dominance loses its effectiveness in MaOPs, which are defined as having more than three objectives. Therefore, a more valid selection method is proposed to balance convergence and distribution. This paper proposes an algorithm using rotary grid technology to solve MaOPs (denoted by RGridEA). The algorithm uses the rotating grid to partition the objective space. Instead of usin...