摘要
粒子群优化是一种简单有效的随机全局优化技术.将克隆选择引入粒子群优化算法,提出了一种基于克隆选择的粒子群优化算法.算法的主要特点是利用克隆和变异等操作,提高收敛速度和种群的多样性.仿真程序表明,该算法能以较快速度完成给定范围的搜索和全局优化任务.
Particle swarm optimizers are a simple stochastic global optimization technique. In this paper, the mechanism of clonal selection is involved into particle swarm optimizer, and a CLONAL -based particle swarm optimization algorithms is proposed. The advantages are via clone and muta -tion the speed of convergent and diversity of the swarm are improved apparently. The simulation results show that the algorithms can converge to the global optimum at quicker rate in a given range.
出处
《小型微型计算机系统》
CSCD
北大核心
2006年第9期1708-1710,共3页
Journal of Chinese Computer Systems
基金
国家自然科学基金项目(60234030)资助
