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遗传算法在现代物流系统中的应用研究

The Application Research of Genetic Algorithm in the Modern Logistics System

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【作者】 王战权汪超

【Author】 Wang Zhan-quan Wang Chao (Tongji University, Department of Road & Traffic Engineering, Institute of Transportation, Shanghai200092)

【机构】 同济大学交通运输学院道理与交通工程系同济大学交通运输学院道理与交通工程系 上海200092上海200092

【摘要】 遗传算法是一种基于自然进化原理的全局搜索随机算法.通过遗传算法特点的介绍,阐述了物流规划中的相关问题。研究了遗传算法在选址问题、配送问题、调度问题、运榆问题、布局问题等问题中的应用方法,介绍了其理论价值,及对实际工作的指导作用。

【Abstract】 Genetic algorithm is a kind of random search algorithm for global, which based on nature evlutionary principle. This paper introduced the characteristics of genetic algorithm, expatiated the related problem of the modern logistics system. The author studied the application method of genetic algorthm for modern logistics system in the location problem, the delivery problem, the scheduling problem, the transportation problem and the layout problem, etc. The six application examples show that the method is validity and suitable to solve some problems for modern logistics system, and it has certainly value for practices. The study has and important theory value and practical function.

【关键词】 遗传算法物流现代物流系统
【Key words】 Genetic AlgorithmLogisticsModern LogisticsSystem
  • 【文献出处】 物流科技 ,Logistics Managemet , 编辑部邮箱 ,2001年02期
  • 【分类号】F252
  • 【被引频次】34
  • 【下载频次】340
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