# [1]张茂清,汪镭,崔志华,等.基于混合策略的快速非支配排序算法II[J].郑州大学学报(工学版),2020,41(04):23-27.[doi:10.13705/j.issn.1671-6833.2020.04.007] 　ZHANG Maoqing,WANG Lei,CUI Zhihua,et al.Fast Non-dominated Sorting Genetic Algorithm II Based on Hybrid Strategies[J].Journal of Zhengzhou University (Engineering Science),2020,41(04):23-27.[doi:10.13705/j.issn.1671-6833.2020.04.007] 点击复制 基于混合策略的快速非支配排序算法II() 分享到： var jiathis_config = { data_track_clickback: true };

41卷

2020年04期

23-27

2020-08-12

## 文章信息/Info

Title:
Fast Non-dominated Sorting Genetic Algorithm II Based on Hybrid Strategies

1. 同济大学电子与信息工程学院2. 太原科技大学计算机科学与技术学院3. 同济大学中德工程学院
Author(s):
1.School of Electronics and Information,Tongji University,Shanghai 201804,China;2.School of Computer Science and Technology,Taiyuan University of Science and Technology,Shanxi 030024,China;3.Sino-Germany College of Applied Sciences,Tongji University,Shanghai 201804,China

Keywords:
DOI:
10.13705/j.issn.1671-6833.2020.04.007

A

Abstract:
Fast Non-dominated Sorting Algorithm II（NSGA-II）is an classics multi-objective optimization algorithm, in which tournament selection strategy is used to select parent individuals to do crossover operator. However, Tournament selection strategy has the drawback that the same individual may be selected many times, resulting in the low diversity of offspring population. To tackle this problem, this paper proposes two strategies. The first is to introduce Lévy distribution to parent individuals for increasing the probability of discovering potential better individuals around patent individuals while the second is to introduce crossover strategy with three patent individuals to decrease the probability of repeatedly selecting the same parent individuals. By comparison with other algorithms, the proposed method can efficiently improve the overall performance of NSGA-II.

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