摘要
提出一种改进的微粒群算法XSPSO,使用子种群来决定各个个体的邻域,引入基于邻域的多亲体杂交,引导各个微粒飞向不同的山峰的同时搜索其他山峰。从实验的结果来看,该算法具有较强的搜索能力和较好的稳定性,且精度较好。该算法用于多峰函数优化具有较佳的效果。
A species - based particle swarm optimizer with multi - parent crossover operatorAbstract A improved particle swarm optimizer is proposed in this paper. It gets individuals＇ neighbourhood by subpopulations and search other optima while guiding paticles to fly to different optima introduces neighbourhood - based multi - parent crossover. It has stronger searching ability , better stability and higher precision . It has better results for multi - modal functions in particular.
出处
《计算技术与自动化》
2009年第1期96-99,共4页
Computing Technology and Automation
关键词
微粒群算法
子种群
多亲体杂交
多峰函数
PSO
subspecies
multi - parent crossover
multi - modal function
