一种基于子种群带多亲体杂交的微粒群算法  

A Species-based Particle Swarm Optimizer with Multi-parent Crossover Operator

作　　者：吴忠怀[1] 

机构地区：[1]湖南岳阳职业技术学院,湖南岳阳414000

出　　处：《计算技术与自动化》2009年第1期96-99,共4页Computing Technology and Automation

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.

关 键 词：微粒群算法 子种群 多亲体杂交 多峰函数 

分 类 号：O241.6[理学—计算数学]