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题名: Multi-hive artificial bee colony algorithm for constrained multi-objective optimization
作者: Zhang H(张浩) ; Zhu YL(朱云龙) ; Yan XH(晏晓辉)
作者部门: 信息服务与智能控制技术研究室
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
会议录: 2012 IEEE Congress on Evolutionary Computation, CEC 2012
会议录出版者: IEEE Computer Society
会议录出版地: Washington, DC
出版日期: 2012
页码: 1-8
收录类别: CPCI(ISTP) ; EI
ISBN号: 978-1467315098
关键词: Multi-Hive ; ABC algorithm ; Constraint ; Multiobjective Optimization ; symbiosis theory
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.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/9885
Appears in Collections:信息服务与智能控制技术研究室_会议论文

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Recommended Citation:
张浩; 朱云龙; 晏晓辉.Multi-hive artificial bee colony algorithm for constrained multi-objective optimization.见:IEEE Computer Society.2012 IEEE Congress on Evolutionary Computation, CEC 2012,Washington, DC,2012,1-8
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