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一种求解最优路径的新型混合PSO算法研究

吕方兴 方昕

计算机与数字工程2013,Vol.41Issue(2):165-167,170,4.
计算机与数字工程2013,Vol.41Issue(2):165-167,170,4.

一种求解最优路径的新型混合PSO算法研究

A New Hybrid PSO Algorithm for Solving the Optimal Path

吕方兴 1方昕1

作者信息

  • 1. 安康学院电子与信息工程系 安康725000
  • 折叠

摘要

Abstract

The PSO algorithm is a new intelligent optimization algorithm and has heen used in many fields. But it easily trapped into local optima! in solving path problem. So according to geographic coordinate's data, initialization data is derived by a mathematical formula. Combined self-balancing strategy with variation idea, a new hybrid PSO algorithm is proposed to solve the university path problem. The algorithm is introduced self-balancing strategy for this problem to improve algorithm accuracy. There use C+ + programming of Visual Studio 2005. net. The results show that this algorithm can solve the optimal path problem. At the same time, it improved the performance and was better than the PSO algorithm and SDPSO algorithm.

关键词

最优路径/PSO算法/自平衡变异/混合PSO算法

Key words

optimal path/ PSO algorithm/ self-balancing variability/ hybrid PSO algorithm

分类

信息技术与安全科学

引用本文复制引用

吕方兴,方昕..一种求解最优路径的新型混合PSO算法研究[J].计算机与数字工程,2013,41(2):165-167,170,4.

基金项目

安康学院高层次人才项目(编号:AYQDZR201203) (编号:AYQDZR201203)

安康学院高层次人才项目(编号:AYQDZR201204)资助. (编号:AYQDZR201204)

计算机与数字工程

1672-9722

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