基于遗传算法的物流园区服务推荐研究

Research on Recommendation for Service Provider Portfolio of Logistics Park Based on Genetic Algorithm

针对物流园区的服务推荐问题,用遗传算法进行深入研究和探讨.在分析物流园区服务商选择评价影响因素的基础上,采用熵值法为各服务商评价打分,针对不同的物流服务需求将服务商按得分组合,并用遗传算法对组合进行优化选择,获取最合适的物流服务商组合方案.该方法不仅可帮助物流园区及企业节约成本,提高服务质量,也为物流园区服务推荐提供了有效的依据.

The research of current logistics park mainly focuses on site location,routing optimization and so on,using in-depth discussion and research for service recommended optimization.On the basis of analyzing the influencing factors about selecting service provider,this thesis use Entropy method to evaluate and combine providers according to different orders,then sort them and find a best solution of providers portfolio based on genetic algorithm.This method not only helps to save cost and improve the quality of service,but also provides an effective basis for recommendation service of logistics park.