计算机与现代化Issue(11)：3-6,4.DOI:10.3969/j.issn.1006-2475.2011.11.002
物流运输网络优化研究
Research on Optimization Logistics Transportation Network
摘要
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 to the objective function, through the judgment of compatibility degree between antibody and antigen and of antibody concentration to select individuals to clone the next generation. Simulation results show that the immune cloning genetic algorithms in the application of the fixed charge transportation problem gets better Pareto optimality sets and Pareto boundary.关键词
免疫/克隆/遗传算法/固定费用运输问题Key words
immunity/cloning/genetic algorithm/fixed-charged transportation problem分类
信息技术与安全科学引用本文复制引用
江卫星..物流运输网络优化研究[J].计算机与现代化,2011,(11):3-6,4.基金项目
镇江高专校级科研课题项目(2010053111) （2010053111）
