A Many-Objective Evolutionary Algorithm with Reference Point-Based and Vector Angle-Based Selection

被引：0
|
作者：
Lee, Chen-Yu [1 ]
Yeh, Jia-Fong [1 ]
Chiang, Tsung-Che [1 ]
机构：
[1] Natl Taiwan Normal Univ, Dept Comp Sci & Informat Engn, Taipei, Taiwan
来源：
GENETIC AND EVOLUTIONARY COMPUTING | 2018年 / 579卷
关键词：
Many-objective; Multiobjective; Evolutionary algorithm; EMO; NSGA-III; OPTIMIZATION;
D O I：
10.1007/978-981-10-6487-6_1
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we proposed a many-objective evolutionary algorithm by combining the reference point-based selection in NSGA-III and the vector angle-based selection in VaEA. Performance of the proposed algorithm is verified by testing on the negative version of four DTLZ functions. The proposed algorithm is better than NSGA-III and is comparable to VaEA in terms of IGD. Besides, the proposed algorithm is more robust and can expand the front better.
引用
收藏
页码：3 / 11
页数：9
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