A multiplicative maximin-based evaluation approach for evolutionary many-objective optimization | |
Ma J(马佳)2; Yang, Shujun1; Shi G(石刚)3; Ma LB(马连博)1 | |
刊名 | Applied Soft Computing |
2022 | |
卷号 | 121页码:1-18 |
关键词 | M2F-p Many-objective optimization Maximin Multi-objective optimization |
ISSN号 | 1568-4946 |
产权排序 | 3 |
英文摘要 | This paper presents a new fitness evaluation approach based on aggregated pairwise comparisons (APC), i.e., a multiplicative maximin fitness ranking indicator with norm-p (M2F-p), for solving multi/many-objective problems. The M2F-p uses an adjustable aggregation of pairwise comparisons induced by p to alleviate the incomparability of solutions in terms of Pareto dominance when the number of objectives increases. We analyze the search ability of M2F-p under different p values. It is shown that the p values can control the shape of contour lines (i.e., a set of equal M2F-p values), which can affect the convergence and uniformity of solutions. Then, we illustrate that the M2F-p offers a set of promising properties that can enhance the discriminability of solutions. Further, we develop an efficient algorithm based on M2F-p by using an adaptive p-selection strategy and a diversity-maintenance mechanism. We conduct experiments on a suit of test problems with up to 10 objectives. The experimental results validate the effectiveness of the proposed algorithm on both multi-objective problems and many-objective problems. |
语种 | 英语 |
WOS记录号 | WOS:000793565300003 |
内容类型 | 期刊论文 |
源URL | [http://ir.sia.cn/handle/173321/30785] |
专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
通讯作者 | Yang, Shujun |
作者单位 | 1.College of Software, Northeastern University, Shenyang 110819, China 2.College of Economics and Management, Shenyang Aerospace University, Shenyang 110136, China 3.Shenyang Institute of Automation, Chinese Academy of Science, Shenyang 110016, China |
推荐引用方式 GB/T 7714 | Ma J,Yang, Shujun,Shi G,et al. A multiplicative maximin-based evaluation approach for evolutionary many-objective optimization[J]. Applied Soft Computing,2022,121:1-18. |
APA | Ma J,Yang, Shujun,Shi G,&Ma LB.(2022).A multiplicative maximin-based evaluation approach for evolutionary many-objective optimization.Applied Soft Computing,121,1-18. |
MLA | Ma J,et al."A multiplicative maximin-based evaluation approach for evolutionary many-objective optimization".Applied Soft Computing 121(2022):1-18. |
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