Path Optimization Method of Logistics Distribution Based on Mixed Multi-Intelligence Algorithms
In order to improve the efficiency and benefit for logistics distribution system, a path optimization method based on mixed multi-intelligence algorithms for vehicle routing problem was developed. In the process of proposed method, it firstly calculates the shortest paths between nodes of road network by Floyd algorithm and then obtains the merge distribution paths by means of saving method. Finally, genetic algorithm is employed to optimize the merge distribution paths. The experimental results show that the proposed method of logistics distribution can well solve the complex network conditions and lower the cost of logistics distribution, illustrating that the proposed model is practical and effective.
KeywordsLogistics distribution Floyd algorithm Shortest path Genetic algorithm
This work is supported by International Science & Technology Cooperation Program of China (2012DFA11270); Hainan International Cooperation Key Project (GJXM201105); Hainan Provincial Natural Science Fundunder (612120, 612126); and National Natural Science Fund (No. 61362016).
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