求解模糊需求可回程取货车辆路径问题的改进人工鱼群算法

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Abstract The vehicle routing problem with backhaul and fuzzy demand (VRPBFD) is one of the most important and difficult problems in operational research filed. A mathematical model for the problem is built in this paper and the improved artificial fish swarm algorithm is proposed. With the effective combination of bionic principle in artificial fish swarm algorithm and subjective preference from decision maker, the optimization function is reconstructed. The optimization ability is raised by dynamically adjusting moving steps of artificial fishes, visual range and neighborhood values. The experiment results of simulation show that the improved algorithm has the validity and superiority.

Key words： Vehicle Routing Problem with Backhaul (VRPB) Fuzzy Demand Swarm Intelligence Optimization Artificial Fish Swarm Algorithm

Received: 28 December 2009

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Cite this article:

LIU Yi. Improved Artificial Fish Swarm Algorithm for Vehicle Routing Problem with Backhaul and Fuzzy Demand[J]. , 2010, 23(4): 560-564.

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http://manu46.magtech.com.cn/Jweb_prai/EN/ OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2010/V23/I4/560

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