PSO Algorithm for the Fourth Party Logistics Network Design Considering Multi-Customer Behavior under Stochastic Demand

摘要

The design of the fourth party logistics network with stochastic demand and multi-customer behavior using the value function of prospect to despite the customer psychological behavior is studied in this paper. The optimization model of the fourth party logistics network design problem is established with the constraint of network investment to maximize customer satisfaction. According to the characteristics of the model, the particle swarm intelligence algorithm with adaptive inertia weight is designed. Numerical study is used to obtain the best combinations of algorithm and to analysis the influence of network investment. The results suggested that to provide the better service to customer, the certain amount of budget should be invested.