关键词: 利润驱动, 协同运输, 聚类, 遗传算法, 多车场

Abstract: Collaborative logistics transportation is the development trend of modern logistics mode, but the profit is an important factor driving the collaborative logistics. In view of  the collaborative logistics problems, this paper establishes a distribution task model based on profit driven and constraint of auto parts logistics transportation. It establishes the population genetic based on collecting goods center point through fuzzy clustering, and then iterative evolution through crossover mutation operation of genetic algorithm to get an optimal solution in a certain number of iterations. An example to illustrate the solution of the model results can be made collaboration between different transportation vehicles logistics enterprises and increase the profit at the same time which verifies the correctness and rationality of the model.

Key words: profit driven, collaborative transportation, cluster, genetic algorithm, multi-depot