Single-Depot Incident Vehicle Routing Problem Based on Chaos Genetic Algorithm

Tang Ya-lian; Cai Yan-guang; Guo Shuai; Le Feng

doi:10.3969/j.issn.1007-7162.2013.03.010

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Single-Depot Incident Vehicle Routing Problem Based on Chaos Genetic Algorithm

更新时间：2026-05-27

- Single-Depot Incident Vehicle Routing Problem Based on Chaos Genetic Algorithm
- Vol. 30, Issue 3, Pages: 53-57(2013)
- 作者机构：
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- DOI：10.3969/j.issn.1007-7162.2013.03.010
  CLC：
- Online First：30 September 2013，
  
  Published：2013
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汤雅连, 蔡延光, 郭帅, 乐峰. 单车场关联物流运输调度问题的混沌遗传算法[J]. 广东工业大学学报, 2013, 30(3): 53-57.

Tang Ya-lian, Cai Yan-guang, Guo Shuai, et al. Single-Depot Incident Vehicle Routing Problem Based on Chaos Genetic Algorithm[J]. 2013, 30(3): 53-57.
汤雅连, 蔡延光, 郭帅, 乐峰. 单车场关联物流运输调度问题的混沌遗传算法[J]. 广东工业大学学报, 2013, 30(3): 53-57. DOI： 10.3969/j.issn.1007-7162.2013.03.010.

Tang Ya-lian, Cai Yan-guang, Guo Shuai, et al. Single-Depot Incident Vehicle Routing Problem Based on Chaos Genetic Algorithm[J]. 2013, 30(3): 53-57. DOI： 10.3969/j.issn.1007-7162.2013.03.010.

摘要

提出了关联物流运输调度问题（Incident Vehicle Routing Problem

IVRP）概念，建立了单车场单车型的IVRP模型，并用混沌遗传算法求解关联物流运输调度问题.混沌遗传算法的基本思想是把混沌变量加载于遗传算法的变量群体中，利用混沌变量对子代群体进行微小扰动并随着搜索过程的进行逐渐调整扰动幅度.研究表明，该方法能有效地解决关联物流运输调度问题.

Abstract

The concept of Incident Vehicle Routing Problem （IVRP） was proposed

the single-depot and single-type-vehicle model was established

and chaos genetic algorithm was applied in the solution to IVRP. The basic thought of chaos genetic algorithm is that chaos variables were brought into the genetic algorithm

adjusting gradually the scope of disturbance in offspring population.The experimental results show that the algorithm can solve IVRP effectively.

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