A hybrid artificial bee colony algorithm for numerical function optimization
文献类型：会议论文
| 作者 | Yan XH(晏晓辉); Zhu YL(朱云龙) ; Zou WP(邹文平)
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| 出版日期 | 2011 |
| 会议名称 | 2011 11th International Conference on Hybrid Intelligent Systems (HIS 2011) |
| 会议日期 | December 5-8, 2011 |
| 会议地点 | Melacca, Malaysia |
| 关键词 | Artificial Bee Colony Hybrid Artificial Bee Colony Particle Swarm Optimization Crossover |
| 页码 | 127-132 |
| 中文摘要 | Artificial Bee Colony (ABC) algorithm is one of the most recent swarm intelligence algorithms which used for problem optimization. This paper presents a Hybrid Artificial Bee Colony algorithm (HABC), in which the crossover operator of Genetic Algorithm is introduced, to improve the canonical ABC in solving complex optimization problems. The variation of the algorithm is presented and seven benchmark functions are used to check its validity. The simulation results showed that the proposed HABC outperforms the canonical ABC and Particle Swarm Optimization algorithms on most functions, especially on the multimodal functions. |
| 收录类别 | EI |
| 产权排序 | 1 |
| 会议主办者 | IEEE Syst., Man, Cybernetics Soc. |
| 会议录 | Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems (HIS 2011)
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | Piscataway, NJ, USA |
| 语种 | 英语 |
| ISBN号 | 978-1-4577-2151-9 |
| 源URL | [http://ir.sia.cn/handle/173321/8302]  |
| 专题 | 沈阳自动化研究所_工业信息学研究室 |
| 推荐引用方式 GB/T 7714 | Yan XH,Zhu YL,Zou WP. A hybrid artificial bee colony algorithm for numerical function optimization[C]. 见:2011 11th International Conference on Hybrid Intelligent Systems (HIS 2011). Melacca, Malaysia. December 5-8, 2011. |
入库方式： OAI收割
来源：沈阳自动化研究所
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