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题名: A hybrid artificial bee colony algorithm for numerical function optimization
作者: Yan XH(晏晓辉) ; Zhu YL(朱云龙) ; Zou WP(邹文平)
作者部门: 工业信息学研究室
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
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
出版日期: 2011
页码: 127-132
收录类别: EI
ISBN号: 978-1-4577-2151-9
关键词: Artificial Bee Colony ; Hybrid Artificial Bee Colony ; Particle Swarm Optimization ; Crossover
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.
语种: 英语
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8302
Appears in Collections:工业信息学研究室_会议论文

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Recommended Citation:
晏晓辉; 朱云龙; 邹文平.A hybrid artificial bee colony algorithm for numerical function optimization.见:IEEE .Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems (HIS 2011),Piscataway, NJ, USA,2011,127-132
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