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Author(s): |
Xianghe Jing, Department of Missile, Air Defense Forces Academy, Zhengzhou, China
Xianfeng Wang, Department of Missile, Air Defense Forces Academy, Zhengzhou, China
Xiangyun Xu, Department of Missile, Air Defense Forces Academy, Zhengzhou, China
Han Zhang, Department of Missile, Air Defense Forces Academy, Zhengzhou, China
Jiaxiao Zheng, School of Electronic Information & Electrical,Engineering Shanghai Jiaotong, University Shanghai, China |
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Abstract: |
Multi-object route optimization problem in multimode transport generally consists in modern logistics system. Firstly, the mathematics model and virtual transport network for multiobject route optimization problem in multimode transport are presented. Secondly, a new hybrid genetic algorithm is proposed for solving the multi-object route optimization problem. The chromosome description, fitness function, genetic operators and population diversity controlling method are proposed. Finally, the effectiveness of the new hybrid genetic algorithm is proved by an example.
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