An Application Study on Vehicle Routing Problem Based on Improved Genetic Algorithm

Author:

Huang Shang,Fu Xiufen,Chen Peiwen,Ge CuiCui,Teng Shaohua

Publisher

Springer Berlin Heidelberg

Reference19 articles.

1. Jiang, B.: Study of Vehicle Routing Problem with Time Windows Based on Genetic Algorithm. Beijing Jiaotong University (2010)

2. Cai, Z.: Research on logistics vehicle routing problem based on genetic algorithm. In: 2011 IEEE 3rd International Conference on Communication Software and Networks (ICCSN), pp. 232–235 (2011)

3. Huang, X., Zou, S., Zhang, H.: Improved genetic algorithm and its application to the optimization of physical distribution routing. Journal of Southwest University for Nationalities (Natrual Science Edition) 34(4) (2008)

4. Ren, C., Wang, X.: Research on Vehicle Scheduling Problem Based on Improved Genetic Algorithm for Electronic Commerce. In: 2007 Second IEEE Conference on Industrial Electronics and Applications, pp. 1887–1891 (2007)

5. Gong, G., Hu, X.-T., Wei, K.-X., Hao, G.-S.: Optimized Performance Research of the Vehicle Routing Problem in Industry Logistics. Computer Science & Engineering (2011)

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