A modified Artificial Bee Colony optimizer by comprehensive learning and Powell' search
文献类型：会议论文
| 作者 | Liu BY(刘博洋) ; Shao WP(邵伟平); Liu, Qiuyan; Ma LB(马连博)
|
| 出版日期 | 2015 |
| 会议名称 | 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER) |
| 会议日期 | June 8-12, 2015 |
| 会议地点 | Shenyang, China |
| 关键词 | Comprehensive learning Artificial Bee Colony Optimization algorithm |
| 页码 | 1529-1533 |
| 中文摘要 | T In order to improve the algorithmic ability of balancing the exploration and exploitation tradeoff, a modified Artificial Bee Colony optimizer (MABC) is proposed by combining Powell's search and comprehensive learning using PSO-based search equation strategy. With comprehensive learning, the bees incorporate the information of global best solution into the solution search equation to improve the exploration while the Powell's search enables the bees deeply exploit around the promising area, which provides a proper balance between exploration and exploitation. The experimental results on a set of benchmarks demonstrated the effectiveness of the proposed algorithm. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | Piscataway, NJ, USA |
| 语种 | 英语 |
| ISSN号 | 2379-7711 |
| ISBN号 | 978-1-4799-8730-6 |
| WOS记录号 | WOS:000380502300279 |
| 源URL | [http://ir.sia.cn/handle/173321/18540]  |
| 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 | Liu BY,Shao WP,Liu, Qiuyan,et al. A modified Artificial Bee Colony optimizer by comprehensive learning and Powell' search[C]. 见:2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER). Shenyang, China. June 8-12, 2015. |
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。