Multi-hive artificial bee colony algorithm for constrained multi-objective optimization
文献类型：会议论文
| 作者 | Zhang H(张浩); Zhu YL(朱云龙) ; Yan XH(晏晓辉)
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| 出版日期 | 2012 |
| 会议名称 | 2012 IEEE Congress on Evolutionary Computation, CEC 2012 |
| 会议日期 | June 10, 2012 - June 15, 2012 |
| 会议地点 | Brisbane, QLD, Australia |
| 关键词 | Multi-Hive ABC algorithm Constraint Multiobjective Optimization symbiosis theory |
| 页码 | 1-8 |
| 中文摘要 | This paper presents a general cooperative coevolution model inspired by the concept and main ideas of the coevolution of symbiotic species in natural ecosystems. A novel approach called "multi-hive artificial bee colony" for constrained multi-objective optimization (MHABC-CMO) is proposed based on this model. A novel information transfer strategy among multiple swarms and division operator are proposed in MHABC-CMO to tie it closer to natural evolution, as well as improve the robustness of the algorithm. Simulation experiment of MHABC-CMO on a set of benchmark test functions are compared with other nature inspired techniques which includes multi-objective artificial bee colony (MOABC), nondominated sorting genetic algorithm II (NSGA II) and multi-objective particle swarm optimization (MOPSO). The numerical results demonstrate MHABC-CMO approach is a powerful search and optimization technique for constrained multi-objective optimization. © 2012 IEEE. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | 2012 IEEE Congress on Evolutionary Computation, CEC 2012
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| 会议录出版者 | IEEE Computer Society |
| 会议录出版地 | Washington, DC |
| 语种 | 英语 |
| ISBN号 | 978-1-4673-1509-8 |
| WOS记录号 | WOS:000312859302061 |
| 源URL | [http://ir.sia.cn/handle/173321/9885]  |
| 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 | Zhang H,Zhu YL,Yan XH. Multi-hive artificial bee colony algorithm for constrained multi-objective optimization[C]. 见:2012 IEEE Congress on Evolutionary Computation, CEC 2012. Brisbane, QLD, Australia. June 10, 2012 - June 15, 2012. |
入库方式： OAI收割
来源：沈阳自动化研究所
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