首页 | 本学科首页   官方微博 | 高级检索  
     

物流运输网络优化研究
引用本文:江卫星. 物流运输网络优化研究[J]. 计算机与现代化, 2011, 0(11): 3-6. DOI: 10.3969/j.issn.1006-2475.2011.11.002
作者姓名:江卫星
作者单位:镇江高等专科学校,江苏镇江,212003
基金项目:镇江高专校级科研课题项目(2010053111)
摘    要:物流运输网络中的固定费用运输问题(fcTP)是物流运输中的高级问题,较难得到最优解。本文提出一种基于免疫克隆遗传算法来解决多目标固定费用运输问题。该算法将运输问题的目标函数和约束条件作为抗原,将问题的可行解作为抗体,而抗体与抗原之间的亲和度就用可行解的目标函数值来表示,通过判断抗体与抗原的亲和度和抗体的浓度来克隆选择个体进入下一代。仿真结果表明,免疫克隆遗传算法在固定费用运输问题应用中得到较好的Pareto最优集和Pareto边界。

关 键 词:免疫  克隆  遗传算法  固定费用运输问题

Research on Optimization Logistics Transportation Network
JIANG Wei-xing. Research on Optimization Logistics Transportation Network[J]. Computer and Modernization, 2011, 0(11): 3-6. DOI: 10.3969/j.issn.1006-2475.2011.11.002
Authors:JIANG Wei-xing
Affiliation:JIANG Wei-xing(Zhenjiang College,Zhenjiang 212003,China)
Abstract:Fixed-charged Transport Problem(fcTP) in the logistics transport networks is an advanced problem,and it is difficult to obtain optimal solution.This paper puts forward a Genetic Algorithm based on immune clone algorithm to solve multi-objective fixed charge transportation problem.In the algorithm,the transportation problem target function and constraints are regarded as antigens,problem feasible solution as antibodies,compatibility degree between antigen and antibody are represented by the feasible solution...
Keywords:immunity  cloning  genetic algorithm  fixed-charged transportation problem  
本文献已被 CNKI 维普 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