Study Vehicle Scheduling Sever Problem under Fuzzy Information

摘要：

To solve the vehicle scheduling sever problem under fuzzy information, the paper takes vehicles fuzzy travel time and customers fuzzy due time as fuzzy information parameter and uses the method of subdividing the customers class to absorb the carriers knowledge system, builds two deciding-making goals of logistic enterprises utility maximization and customers s utility maximization to two kinds of fuzzy information dynamic vehicle scheduling model, and proposes ant colony optimization method to solve this problem. The artificial test analyzes the influence of the computed results of these two kinds of models with the change of policy-making parameters and suggests the frame basis of correlation parameters of the formulation.

关键词： logistic economy fuzzy information vehicle scheduling sever problem ant colony algorithm model

作者: Lu Lin

作者单位: School of Business Administration of Guizhou College of Finance and Economy,Guiyang,China

会议类型: 国际会议

会议名称: 2009 6th International Conference on Service Systems and Service Management( 2009 第六届服务系统与服务管理国际会议)

会议地点: 厦门

会议语种:英文

页码: 156-160

在线出版日期: 2009-06-08（万方平台首次上网日期，不代表论文的发表时间）