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合作的具有量子行为粒子群优化算法 被引量：2

Cooperative approach to Quantum-behaved Particle Swarm Optimization
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摘要 通过对具有量子行为的粒子群优化(Quantum-behaved Particle Swarm Optimization,QPSO)算法深入分析,把协作机制引入到QPSO算法中,提出了协作的具有量子行为的粒子群优化(Cooperative Quantum-behaved Particle Swarm Optimization)算法,并详细阐述了这种算法的主要思想。测试结果表明,这种改进算法能够克服QPSO算法中的不足,增强了粒子群的优化能力。 An improvement method for Quantum-behaved Particle Swarm Optimization algorithm（QPSO）,that is,Cooperative Quantum-behaved Particle Swarm Optimization（CQPSO） algorithm,is introduced by analyzing deeply the QPSO.Experiments for several benchmark problems show that CQPSO can overcome the fault of QPSO and increase the optimization power of the particle swarln.
作者 康燕 冯海朋 须文波 杨燕萍
机构地区 河北科技师范学院计算机系 重庆邮电大学网络控制重点实验室 江南大学信息学院
出处 《计算机工程与应用》 CSCD 北大核心 2010年第4期39-42,112,共5页 Computer Engineering and Applications
关键词 粒子群优化 协作 量子行为 Particle Swarm Optimization（PSO） cooperation quantum-behaved
分类号 TP301.6 [自动化与计算机技术—计算机系统结构]
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参考文献10

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同被引文献22

  • 1单梁,强浩,李军,王执铨.基于Tent映射的混沌优化算法[J].控制与决策,2005,20(2):179-182. 被引量：193
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计算机工程与应用
2010年 第4期

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