The Optimization Model and Its Algorithms for Multiple Transportation Modes Selection for Single-Task in the Fourth Party Logistics

On the basis of multiple transport mode selection, the paper presents the route optimization model for single-task from one origination to several destinations in the fourth party logistics, and gives the solution of Genetic Algorithms. In the algorithms, a length-variant encoding scheme of round number is adopted to represent the selected route, and idea that keeps the best individual is used. The results of experiments show that Genetic Algorithms can solve the route optimization problem based on the selection of multiple transport modes in the fourth party logistics conveniently and effectively.