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.
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