计算机应用与软件2011，Vol.28Issue(9)：222-224,3.
一种基于遗传算法改进的粒子群优化算法
AN IMPROVED PARTICLE SWARM OPTIMISATION ALGORITHM BASED ON GENETIC ALGORITHM
潘勇 1郭晓东2
作者信息
- 1. 山东大学信息科学与工程学院 山东济南250100
- 2. 山东大学网络与信息中心 山东济南250100
- 折叠
摘要
Abstract
Based on studying standard particle swarm optimisation and genetic algorithm, this paper proposes an expanded PSO by introducing genetic selection,crossover operator and mutation operator from genetic algorithm,which makes PSO search process get rid of local minimum and has a rapid convergence rate.关键词
遗传算法/粒子群算法/交叉算子/变异算子Key words
Genetic algorithm Particle swarm optimisation (PSO) Crossover operator Mutation operator分类
信息技术与安全科学引用本文复制引用
潘勇,郭晓东..一种基于遗传算法改进的粒子群优化算法[J].计算机应用与软件,2011,28(9):222-224,3.
