Particle Swarm Optimization with Adaptive Mutation L Zhen-su,HOU Zhi-rong

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Particle Swarm Optimization with Adaptive Mutation L Zhen-su,HOU Zhi-rong

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- Particle Swarm Optimization with Adaptive Mutation L Zhen-su,HOU Zhi-rong
- Acta Electronica Sinica Vol. 32, Issue 3, Pages: 416-420(2004)
- 作者机构：
  
  兰州大学信息科学与工程学院,甘肃,兰州,730000
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP18
- Published：2004
- 稿件说明：
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Particle Swarm Optimization with Adaptive Mutation L Zhen-su,HOU Zhi-rong[J]. Acta Electronica Sinica, 2004, 32(3): 416-420.
DOI：

Particle Swarm Optimization with Adaptive Mutation L Zhen-su,HOU Zhi-rong[J]. Acta Electronica Sinica, 2004, 32(3): 416-420. DOI：

摘要

本文提出了一种新的基于群体适应度方差自适应变异的粒子群优化算法(AMPSO).该算法在运行过程中根据群体适应度方差以及当前最优解的大小来确定当前最佳粒子的变异概率

变异操作增强了粒子群优化算法跳出局部最优解的能力.对几种典型函数的测试结果表明:新算法的全局收搜索能力有了显著提高

并且能够有效避免早熟收敛问题.

Abstract

A new adaptive mutation particle swarm optimizer(AMPSO)

which is based on the variance of the population's fitness is presented.During the running time

the mutation probability for the current best particle is determined by two factors:the variance of the population's fitness and the current optimal solution.The ability of particle swarm optimization algorithm(PSO) to break away from the local optimum is greatly improved by the mutation.The experimental results show that the new algorithm not only has great advantage of convergence property over genetic algorithm and PSO

but also can avoid the premature convergence problem effectively.

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