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题名Cellular direction information based differential evolution for numerical optimization: an empirical study
作者
发表日期2016-07-01
发表期刊Soft Computing
ISSN/eISSN1432-7643
卷号20期号:7页码:2801-2827
摘要

Differential evolution (DE) is a well-known evolutionary algorithm which has been successfully applied in many scientific and engineering fields. In most DE algorithms, the base and difference vectors for mutation are randomly selected from the current population. That is, the useful population information cannot be fully exploited to guide the search of DE through mutation. Furthermore, the selection of parents in mutation has been verified to be critical for the DE performance. Therefore, to alleviate this drawback and improve the performance of DE, a novel DE algorithm with a directional mutation based on cellular topology is proposed in this study. This proposed algorithm is named as Cellular Direction Information based DE (DE-CDI). In DE-CDI, the cellular topology is employed first to define a neighborhood for each individual of population and then the direction information based on the neighborhood is incorporated into the mutation operator. In this way, DE-CDI not only utilizes the neighborhood information to exploit the regions of better individuals and accelerate convergence, but also introduces the direction information to guide the search to the promising area. To evaluate the performance of the proposed method, DE-CDI is applied to the original DE algorithms, as well as several advanced DE variants. Experimental results demonstrate the high performance of DE-CDI for most DE algorithms studied.

关键词Cellular topology Differential evolution Direction information Mutation operator Neighborhood information Numerical optimization
DOI10.1007/s00500-015-1682-9
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收录类别SCIE
语种英语English
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications
WOS记录号WOS:000380288800021
Scopus入藏号2-s2.0-84928128797
引用统计
被引频次:32[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/7260
专题个人在本单位外知识产出
通讯作者Cai, Yiqiao
作者单位
College of Computer Science and Technology, Huaqiao University, Xiamen, 361021, China
推荐引用方式
GB/T 7714
Liao, Jingliang,Cai, Yiqiao,Wang, Tianet al. Cellular direction information based differential evolution for numerical optimization: an empirical study[J]. Soft Computing, 2016, 20(7): 2801-2827.
APA Liao, Jingliang, Cai, Yiqiao, Wang, Tian, Tian, Hui, & Chen, Yonghong. (2016). Cellular direction information based differential evolution for numerical optimization: an empirical study. Soft Computing, 20(7), 2801-2827.
MLA Liao, Jingliang,et al."Cellular direction information based differential evolution for numerical optimization: an empirical study". Soft Computing 20.7(2016): 2801-2827.
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