发表状态 | 已发表Published |
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
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ISSN/eISSN | 1432-7643 |
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 |
DOI | 10.1007/s00500-015-1682-9 |
URL | 查看来源 |
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 | |
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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