Lanzhou University of Technology Institutional Repository (LUT_IR)
A hybrid optimization algorithm based on chaotic differential evolution and estimation of distribution | |
Zhao, Fuqing1,2; Shao, Zhongshi1; Wang, Junbiao2; Zhang, Chuck3 | |
2017-03-01 | |
发表期刊 | COMPUTATIONAL & APPLIED MATHEMATICS |
ISSN | 2238-3603 |
卷号 | 36期号:1页码:433-458 |
摘要 | Estimation of distribution algorithms (EDAs) and differential evolution (DE) are two types of evolutionary algorithms. The former has fast convergence rate and strong global search capability, but is easily trapped in local optimum. The latter has good local search capability with slower convergence speed. Therefore, a new hybrid optimization algorithm which combines the merits of both algorithms, a hybrid optimization algorithm based on chaotic differential evolution and estimation of distribution (cDE/EDA) was proposed. Due to its effective nature of harmonizing the global search of EDA with the local search of DE, the proposed algorithm can discover the optimal solution in a fast and reliable manner. Chaotic policy was used to strengthen the search ability of DE. Meantime the global convergence of algorithm was analyzed with the aid of limit theorem of monotone bounded sequence. The proposed algorithm was tested through a set of typical benchmark problems. The results demonstrate the effectiveness and efficiency of the proposed cDE/EDA algorithm. |
关键词 | Hybrid optimization Estimation of distribution algorithm Chaotic differential evolution algorithm Convergence Global optimization |
DOI | 10.1007/s40314-015-0237-0 |
收录类别 | SCIE |
语种 | 英语 |
WOS研究方向 | Mathematics |
WOS类目 | Mathematics, Applied |
WOS记录号 | WOS:000394575200024 |
出版者 | SPRINGER HEIDELBERG |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://ir.lut.edu.cn/handle/2XXMBERH/155435 |
专题 | 国际合作处(港澳台办) |
通讯作者 | Zhao, Fuqing |
作者单位 | 1.Lanzhou Univ Technol, Sch Comp & Commun Technol, Lanzhou 730050, Peoples R China; 2.Northwestern Polytech Univ, Key Lab Contemporary Design & Integrated Mfg Tech, Minist Educ, Xian 710072, Peoples R China; 3.Georgia Inst Technol, H Milton Stewart Sch Ind & Syst Engn, Atlanta, GA 30332 USA |
第一作者单位 | 兰州理工大学 |
通讯作者单位 | 兰州理工大学 |
第一作者的第一单位 | 兰州理工大学 |
推荐引用方式 GB/T 7714 | Zhao, Fuqing,Shao, Zhongshi,Wang, Junbiao,et al. A hybrid optimization algorithm based on chaotic differential evolution and estimation of distribution[J]. COMPUTATIONAL & APPLIED MATHEMATICS,2017,36(1):433-458. |
APA | Zhao, Fuqing,Shao, Zhongshi,Wang, Junbiao,&Zhang, Chuck.(2017).A hybrid optimization algorithm based on chaotic differential evolution and estimation of distribution.COMPUTATIONAL & APPLIED MATHEMATICS,36(1),433-458. |
MLA | Zhao, Fuqing,et al."A hybrid optimization algorithm based on chaotic differential evolution and estimation of distribution".COMPUTATIONAL & APPLIED MATHEMATICS 36.1(2017):433-458. |
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