计算机工程与应用2012，Vol.48Issue(24)：49-52,76,5.DOI:10.3778/j.issn.1002-8331.2012.24.011
基于云模型云滴机制的量子粒子群优化算法
Quantum Particle Swarm Optimization based on Cloud model Cloud droplet strategy
摘要
Abstract
A novel Cloud model Cloud droplet strategy's Quantum Particle Swarm Optimization(CQPSO) is proposed by using the characteristics of cloud model cloud droplet randomness and stable disposition. This algorithm based on Quantum Particle Swarm Optimization, it produces hybrid operation by cloud model of X, Y generators and mutation operation by basic cloud generator. It is used to solve the complex functions optimization problem with variable boundary constrained nonlinearity. The simulation results show that the algorithm has higher calculation precision, faster search speed and so on. It has some references and application values.关键词
云模型/量子粒子群优化算法/函数优化Key words
cloud model/ Quantum Particle Swarm Optimization(QPSO)/ function optimization分类
信息技术与安全科学引用本文复制引用
齐名军,杨爱红..基于云模型云滴机制的量子粒子群优化算法[J].计算机工程与应用,2012,48(24):49-52,76,5.基金项目
国家自然科学基金(No.50138010). （No.50138010）
