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    张海刚, 顾幸生, 吴燕翔, 甘世红. 基于免疫算法的不确定条件下车辆调度问题[J]. 华东理工大学学报(自然科学版), 2009, (3): 452-456.
    引用本文: 张海刚, 顾幸生, 吴燕翔, 甘世红. 基于免疫算法的不确定条件下车辆调度问题[J]. 华东理工大学学报(自然科学版), 2009, (3): 452-456.
    Vehicle Scheduling Problem with Fuzzy Demands Based on Immune Algorithms[J]. Journal of East China University of Science and Technology, 2009, (3): 452-456.
    Citation: Vehicle Scheduling Problem with Fuzzy Demands Based on Immune Algorithms[J]. Journal of East China University of Science and Technology, 2009, (3): 452-456.

    基于免疫算法的不确定条件下车辆调度问题

    Vehicle Scheduling Problem with Fuzzy Demands Based on Immune Algorithms

    • 摘要: 带模糊需求的车辆调度问题(VSPFD)是在基本的车辆调度问题(VSP)上增加了模糊需求约束条件的一种变化形式,是一个典型的NP难题。通过引用一种新的编码方法、交叉和变异概率的自适应机制,构造一种改进的免疫算法来求解VSPFD,并将求解结果与遗传算法比较。比较结果表明该算法对于求解VSPFD问题具有较好的性能。

       

      Abstract: The immune algorithm is an intelligentized heuristic algorithm that imitates the high-evolvement of the organism and the complicated immune system. The vehicle scheduling problem with fuzzy demands (VSPFD) is a variation of vehicle scheduling problem (VSP),which is a typical NP-hard problem. By means of a new coding method, and the adaptive mechanism of crossover and mutation, an improved immune algorithm(IIA) is proposed to solve the VSPFD. Simulation results show the effectiveness of the proposed algorithms for solving the problem of VSPFD.

       

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