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基于混合遗传算法的物流配送模糊车辆调度问题研究
Hybrid Genetic Algorithm for Fuzzy Physical Distribution Vehicle Scheduling Problem
【摘要】 在同时考虑物流配送总费用和服务水平的基础上,建立适合物流配送模糊车辆调度问题的数学模型。并且采用期望值选择法,将爬山法与遗传算法相结合,构造了求解该问题的混合遗传算法。研究表明,用该算法求解物流配送模糊车辆调度问题,能够很快收敛到满意解。
【Abstract】 On the basis of total cost and service level,the authors have given a model for fuzzy physical(distribution) problem.Meanwhile,using the selective method of expectation,the local search method and the genetic(algorithm),the authors construct a hybrid genetic algorithm for this problem.Demonstrating with a example in solving physical distribution problem through this method,the result converges fast to a best solusion.
【关键词】 车辆调度问题;
物流配送;
混合遗传算法;
模糊;
爬山法;
【Key words】 vehicle scheduling problem; physical distribution; hybrid genetic algorithm; fuzzy; local search algorithm;
【Key words】 vehicle scheduling problem; physical distribution; hybrid genetic algorithm; fuzzy; local search algorithm;
- 【文献出处】 长沙交通学院学报 ,Journal of Changsha Communications University , 编辑部邮箱 ,2005年03期
- 【分类号】U492
- 【被引频次】17
- 【下载频次】441