基于遗传算法的物流运输与调度优化研究  

Logistics and Scheduling Optimization Research Based on Genetic Algorithm

作　　者：习磊[1] 王长飞[1] 

机构地区：[1]中山大学管理学院,广州510006

出　　处：《价值工程》2015年第11期36-38,共3页Value Engineering

摘　　要：物流优化是物流企业降低物流成本的主要方式之一,通过物流优化进一步提高物流公司的服务能力,已经是许多物流企业提升竞争力的一项有效举措。本文依据现实中的物流运输问题,建立了基于运输成本和时间的一般函数模型,利用遗传算法进行求解,寻求最优运输路线。算例结果表明使用遗传算法优化运输方式,可以改善现有的调度模式,在满足时间约束的条件下,实现物流运输成本最小。Logistics optimization is one of the main ways to reduce logistics costs and to further improve logistics service capabilities, whish is already an effective measure to enhance the competitiveness of logistics enterprises. In this paper, we constructed a general model based on trasportation cost and time according to the reality problems, used genetic algorithm to figure it out. And the numerical results show that the use of genetic algorithm optimization can improve the existing scheduling mode, and meet the time constraints of the conditions for the realization of minimum logistics costs.

关 键 词：遗传算法 运输调度 优化配置 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]