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中文摘要：
研究带有模糊时间窗的车辆调度组合干扰管理模型及其混合遗传算法．采用时间窗模糊化处理方法，定义客户满意度函数，根据干扰管理思想对车辆调度中组合性干扰事件进行分析，从配送路径、配送成本和客户满意度三个方面进行干扰辨识与度量，建立基于模糊时间窗的车辆调度组合干扰管理模型；构造模型求解的混合遗传算法，将最佳客户插入规则与遗传算法结合，同时在算法中嵌入模糊优化程序以处理问题的模糊特征；进行数值实验，实验结果验证了模型与算法的有效性．
英文摘要：
One-class combinational disruption management model for vehicle routing problem with fuzzy time windows and its hybrid genetic algorithm were studied. After developing the fuzzy processing of time windows and describing customers＇ satisfaction level by a fuzzy membership function, the paper analyzed the combinational disruptions for vehicle routing problem, and presented methods of disruptions identification and measurement which considered synthetically distribution paths, distribution costs and customer satisfaction levels according to disruption management thoughts, and put forward a disruption recovery model for combinational disruptions. The heuristic insertion rule and genetic algorithm were combined to solve the proposed multi-objec- tive model and a fuzzy optimization procedu：re was embedded to deal with fuzzy features of the problem. Computational experiments were carried out to examine the model and the algorithm.
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FUZZY ASSESSMENT METHODOLOGY FOR EMERGENCY RESPONSE CAPABILITY IN HAZARDOUS MATERIALS TRANSPORTATION
A simulation optimization algorithm with heuristic transformation and its application to vehicle rou
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