期刊论文

Zheng, Jinhua

英文

Applied Soft Computing

1568-4946

2017

60

C

689-705

10.1016/j.asoc.2017.07.030

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61502408, 61673331, 61379062, 61403326]; Education Department Major Project of Hunan Province [17A212]; CERNET Innovation 615 Project [NGII20150302]; Natural Science Foundation of Hunan ProvinceNatural Science Foundation of Hunan Province [14JJ2072]; Science and Technology Plan Project of Hunan Province [2016TP1020]; Provinces and Cities Joint Foundation Project [2017JJ4001]; Engineering and Physical Sciences Research CouncilEngineering & Physical Sciences Research Council (EPSRC) [EP/J017515/1] Funding Source: researchfish

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In many-objective optimization, the balance between convergence and diversity is hard to maintain, while the dominance resistant solutions (DRSs) could further harm the balance particularly in high-dimensional objective space. Thus, this paper proposes a novel selection strategy - boundary elimination selection based on binary search (called BESBS), trying to avoid the impact of DRSs during the optimization and achieve a good balance between the convergence and diversity simultaneously. During the environmental selection, the binary search (BS) is used to adaptively adjust the epsilon value in...