| 注册
首页|期刊导航|山东农业大学学报(自然科学版)|基于IPSO算法的多目标车辆配送路径规划研究

基于IPSO算法的多目标车辆配送路径规划研究

陈智勇

山东农业大学学报(自然科学版)2017,Vol.48Issue(2):255-258,4.
山东农业大学学报(自然科学版)2017,Vol.48Issue(2):255-258,4.DOI:10.3969/j.issn.1000-2324.2017.02.019

基于IPSO算法的多目标车辆配送路径规划研究

Research on Multi-objective Vehicle Route Program Based on IPSO Algorithm

陈智勇1

作者信息

  • 1. 青海师范大学,青海西宁810000
  • 折叠

摘要

Abstract

In this paper,a multi-objective vehicle route program based on IPSO was proposed to solve the vehicle route problem.The multi-objective vehicle route model was established based on the objective cost,waiting time cost and penalty cost to select the search success rate,average travel cost and search time as the evaluation index.The results showed that the IPSO algorithm in the search success rate and search time and average travel cost was better than GA and PSO algorithm.It is important for avoiding the local optimum,reducing the delivery cost and enhancing the competitiveness of enterprises.

关键词

粒子群算法/路径规划/多目标函数/数学模型

Key words

Particle swarm optimization/route program/multi-objective function/mathematical model

分类

化学化工

引用本文复制引用

陈智勇..基于IPSO算法的多目标车辆配送路径规划研究[J].山东农业大学学报(自然科学版),2017,48(2):255-258,4.

山东农业大学学报(自然科学版)

OA北大核心CSCDCSTPCD

1000-2324

访问量0
|
下载量0
段落导航相关论文