首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于混合遗传算法的物流园区内部布局优化
引用本文:高健,刘华旭,李莹莹,韦再伟,崔后盾,张辉.基于混合遗传算法的物流园区内部布局优化[J].物流技术,2011,30(1):82-84.
作者姓名:高健  刘华旭  李莹莹  韦再伟  崔后盾  张辉
作者单位:北京交通大学,交通运输学院,北京,100044
摘    要:物流园区的内部布局是影响物流园区的整体效率、运行成本及环境安全的重要因素之一。通过分析影响物流园区内部布局的相关因素,建立了数学模型,以使得货物在园区内外及园区内部之间的搬运费用最小,园区内各功能区作业联系最为紧密。然后,构造了求解该问题的遗传算法,在遗传算法的基础上,加入了爬山算法,优化了求解过程。最后,对国内某物流园区的实例计算,表明建立的模型及算法能够有效地求得问题的最优解或近似最优解。

关 键 词:布局问题  遗传算法  爬山算法  物流园区

Study on the Internal Layout Optimization for Logistics Parks Based on Hybrid Genetic Algorithm
GAO Jian,LIU Hua-xu,LI Ying-ying,WEI Zai-wei,CUI Hou-dun,ZHANG Hui.Study on the Internal Layout Optimization for Logistics Parks Based on Hybrid Genetic Algorithm[J].Logistics Technology,2011,30(1):82-84.
Authors:GAO Jian  LIU Hua-xu  LI Ying-ying  WEI Zai-wei  CUI Hou-dun  ZHANG Hui
Institution:GAO Jian,LIU Hua-xu,LI Ying-ying,WEI Zai-wei,CUI Hou-dun,ZHANG Hui(School of Traffic & Transportation,Beijing Jiaotong University,Beijing 100044,China)
Abstract:Through analyzing the relevant factors of logistics park internal layout,the paper formulates the mathematical model to minimize the cargo handling cost through and inside the parks.Then,it incorporates the hill-climbing algorithm into traditional genetic algorithm to optimze the solution for the model and carries out an empirical study on the case of a certain logistics park in China,with result indicating the effectiveness of the model and algorithm in obtaining the optimal or approximately optimal soluti...
Keywords:layout problem  genetic algorithm  hill-climbing algorithm  logistics park  
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号