摘要
在对传统算法讨论的基础上提出了一种基于遗传算法的物流配送最佳路径选择建模方法,并应用实例进行了仿真分析.结果表明:该方法用于物流的建模仿真能较好地满足不同类型的约束要求,并能较早地找到满足条件的群体,是非常有效的.该方法也可用于解决类似于问题的多重约束目标的问题.
According to the study of traditional algorithm, this paper puts forward to a mathematical model of the optimum path choice for logistics based on genetic algorithm and make a simulation analysis with practical examples. The results show that this model used in logistics modeling can meet the different limited demands. It can also find the demanding condition early. It is clear that the method is very efficient. This method can also be used to solve the target problems with multiple limitations.
出处
《中北大学学报（自然科学版）》
EI
CAS
2005年第6期421-423,共3页
Journal of North University of China(Natural Science Edition)
关键词
遗传算法
最优路径选择
数学建模
genetic algorithm
the optimum path choice
mathematical modeling
