Enhanced artificial bee colony algorithm through differential evolution
文献类型：期刊论文
| 作者 | Gao, Wei-feng1; Huang, Ling-ling1; Wang, Jue2; Liu, San-yang3; Qin, Chuan-dong4,5 |
| 刊名 | APPLIED SOFT COMPUTING
 |
| 出版日期 | 2016-11-01 |
| 卷号 | 48页码:137-150 |
| 关键词 | Artificial bee colony algorithm Differential evolution Population initialization Evaluation strategy |
| ISSN号 | 1568-4946 |
| DOI | 10.1016/j.asoc.2015.10.070 |
| 英文摘要 | Artificial bee colony algorithm (ABC) is a relatively new optimization algorithm. However, ABC does well in exploration but badly in exploitation. One possible way to improve the exploitation ability of the algorithm is to combine ABC with other operations. Differential evolution (DE) can be considered as a good choice for this purpose. Based on this consideration, we propose a new algorithm, i.e. DGABC, which combines DE with gbest-guided ABC (GABC) by an evaluation strategy with an attempt to utilize more prior information of the previous search experience to speed up the convergence. In addition, to improve the global convergence, when producing the initial population, a chaotic opposition-based population initialization method is employed. The comparison results on a set of 27 benchmark functions demonstrate that the proposed method has better performance than the other algorithms. (C) 2016 Elsevier B.V. All rights reserved. |
| 资助项目 | National Natural Science Foundation of China[61402534] ; National Natural Science Foundation of China[61373174] ; National Natural Science Foundation of China[61562001] ; Shandong Provincial Natural Science Foundation, China[ZR2014FQ002] ; Shandong Provincial Natural Science Foundation, China[ZR2013FQ007] ; Fundamental Research Funds for the Central Universities[14CX02160A] ; Fundamental Research Funds for the Central Universities[15CX02057A] |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000389549400011 |
| 出版者 | ELSEVIER SCIENCE BV |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/24354]  |
| 专题 | 中国科学院数学与系统科学研究院 |
| 通讯作者 | Gao, Wei-feng |
| 作者单位 | 1.China Univ Petr, Sch Sci, Qingdao 266580, Peoples R China 2.Acad Math & Syst Sci, CAS, Ctr Forecasting Sci, Beijing 100190, Peoples R China 3.Xidian Univ, Sch Math & Stat, Xian 710071, Shannxi, Peoples R China 4.Beifang Univ Nationalities, Math Coll, Yinchuan 750021, Peoples R China 5.Beifang Univ Nationalities, Informat Sci Coll, Yinchuan 750021, Peoples R China |
| 推荐引用方式 GB/T 7714 | Gao, Wei-feng,Huang, Ling-ling,Wang, Jue,et al. Enhanced artificial bee colony algorithm through differential evolution[J]. APPLIED SOFT COMPUTING,2016,48:137-150. |
| APA | Gao, Wei-feng,Huang, Ling-ling,Wang, Jue,Liu, San-yang,&Qin, Chuan-dong.(2016).Enhanced artificial bee colony algorithm through differential evolution.APPLIED SOFT COMPUTING,48,137-150. |
| MLA | Gao, Wei-feng,et al."Enhanced artificial bee colony algorithm through differential evolution".APPLIED SOFT COMPUTING 48(2016):137-150. |
入库方式： OAI收割
来源：数学与系统科学研究院
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