Path Optimization Method of Logistics Distribution Based on Mixed Multi-Intelligence Algorithms

  • Rui-qiong Zhou
  • Jun-kuo Cao
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 254)


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.


Logistics 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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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Center of NetworkHainan Normal UniversityHaikouChina
  2. 2.College of Information Science and TechnologyHainan Normal UniversityHaikouChina

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