A novel hybrid artificial bee colony algorithm with crossover operator for numerical optimization
文献类型：期刊论文
| 作者 | Yan XH(晏晓辉) ; Zhu YL(朱云龙); Chen HN(陈瀚宁); Zhang H(张浩)
|
| 刊名 | Natural Computing
 |
| 出版日期 | 2015 |
| 卷号 | 14期号:1页码:169-184 |
| 关键词 | Artificial Bee Colony Hybrid artificial bee colony Crossover operator Crossover rate |
| ISSN号 | 1567-7818 |
| 产权排序 | 2 |
| 通讯作者 | 晏晓辉 |
| 中文摘要 | Artificial Bee Colony (ABC) algorithm is one of the most recently introduced swarm intelligence algorithms which inspired by the foraging behavior of honey bee swarms. It has been widely used in numerical and engineering optimization problems. This paper presents a hybrid artificial bee colony (HABC) model to improve the canonical ABC algorithm. The main idea of HABC is to enhance the information exchange between bees by introducing the crossover operator of genetic algorithm to ABC. With suitable crossover operation, valuable information is fully utilized and it is expected that the algorithm can converge faster and more accurate. Eight versions of HABC algorithm combined by different selection and crossover methods under the model were proposed and tested on several benchmark functions. Then, the settings of the new parameter crossover rate for two well performed HABC versions are tested to verify their best values. Finally, four rotated functions and four shifted functions are used to test the performance of the two algorithms on complex functions and asymmetric functions. Experiment results showed that these two versions of HABC algorithm offer significant improvement over the original ABC and are superior to other two state of the art algorithms on some functions. 漏 2013 Springer Science+Business Media Dordrecht. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications ; Computer Science, Theory & Methods |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | PARTICLE SWARM OPTIMIZATION ; GENETIC ALGORITHM ; DIFFERENTIAL EVOLUTION ; GLOBAL OPTIMIZATION ; PERFORMANCE |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000360155600013 |
| 源URL | [http://ir.sia.cn/handle/173321/14682]  |
| 专题 | 沈阳自动化研究所_信息服务与智能控制技术研究室 |
| 推荐引用方式 GB/T 7714 | Yan XH,Zhu YL,Chen HN,et al. A novel hybrid artificial bee colony algorithm with crossover operator for numerical optimization[J]. Natural Computing,2015,14(1):169-184. |
| APA | Yan XH,Zhu YL,Chen HN,&Zhang H.(2015).A novel hybrid artificial bee colony algorithm with crossover operator for numerical optimization.Natural Computing,14(1),169-184. |
| MLA | Yan XH,et al."A novel hybrid artificial bee colony algorithm with crossover operator for numerical optimization".Natural Computing 14.1(2015):169-184. |
入库方式： OAI收割
来源：沈阳自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。