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A Hybrid Genetic Algorithm for the Traveling Salesman Problem with Pickup and Delivery

International Journal of Automation and computing 2009年第1期6卷 97-102页

作者： Fang-Geng Zhao Jiang-Sheng Sun Su-Jian Li Wei-Min Liu Vehicle Management Institute Bengbu 233011 PRC Department of Logistics Engineering University of Science and Technology Beijing Beijing 100083 PRC Ordnance Technology Research Institute Shijiazhuang 050003 PRC

In this paper, a hybrid genetic algorithm （GA） is proposed for the traveling salesman problem （TSP） with pickup and delivery （TSPPD）. In our algorithm, a novel pheromone-based crossover operator is advanced that utilizes both local and global information to construct offspring. In addition, a local search procedure is integrated into the GA to accelerate convergence. The proposed GA has been tested on benchmark instances, and the computational results show that it gives better convergence than existing heuristics.

关键词： Genetic algorithm (GA) pheromone-based crossover local search pickup and delivery traveling salesman problem(TSP).

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A hybrid genetic algorithm for the vehicle routing problem with simultaneous pickup and delivery

A hybrid genetic algorithm for the vehicle routing problem w...

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2009中国控制与决策会议

作者： Fanggeng Zhao~1,Dong Mei~1,Jiangsheng Sun~2,Weimin Liu~3 1.Vehicle Management Institute,Bengbu 233011,China 2.Ordnance Technoloev Research Institute,Shiiiazhuang 050003,China 3.School of Mechanical Engineering,Hebei Polytechnic University,Tangshan 063009,China

The vehicle routing problem with simultaneous pickup and delivery is an important variation of VRP where customers require simultaneous pickup and delivery *** this paper,we proposed a hybrid genetic algorithm to solve this *** the proposed algorithm,we proposed a pheromone-based crossover operator that utilizes both the local and global information to construct *** local information used in crossover operator includes edge lengths and adjacency relations,while the global information is stored as pheromone *** improve the performance of genetic algorithm,a local search procedure is integrated into GA,and acts as the mutation *** hybrid algorithm was tested on benchmark instances,and experimental results are conclusively in favor of our algorithm.

关键词： Genetic algorithm pheromone-based crossover Vehicle routing Pickup and delivery

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