The Application of Genetic Algorithm in Vehicle Routing Problem

Yueqin Zhang, Shiying Chen, Jinfeng Liu, Fu Duan
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引用次数: 4

Abstract

Genetic Algorithms are excellent approaches to solving complex problem in optimization with difficult constraints. The vehicle routing problem (VRP) has been shown as an NP-complete problem. On the foundation of stressing the limitations of the network in VRP this paper introduces a finite automaton (FA) to produce individual population and implement a new evolution way using genetic algorithm. Besides, the paper shows the application in an urban public transportation system.
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遗传算法在车辆路径问题中的应用
遗传算法是解决具有困难约束的复杂优化问题的优秀方法。车辆路径问题(VRP)是一个np完全问题。在强调VRP中网络局限性的基础上,引入有限自动机(FA)产生个体群体,并利用遗传算法实现一种新的进化方式。此外,本文还展示了该系统在城市公共交通系统中的应用。
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