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搜索资源 - 模拟 退火算法 求解 车辆路径 问题
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模拟退火和遗传算法混和求解车辆路径问题的程序，没有解压密码。-simulated annealing and genetic algorithms hybrid vehicle routing problem solving process, not extracting passwords.
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运用模拟退火算法求解带时间窗约束的车辆路径问题-The use of simulated annealing algorithm with time window constrained vehicle routing problem
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建立了多约束条件车辆路径问题的数学模型和求解流程先采用最近插入法生成初始解然后基于遗传算法和模拟退火算法改进初始解-The establishment of a multi-vehicle routing problem with constraint model and solution process first insertion generated by the recent initial solution and based on genetic algorithm and simu
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利用模拟退火算法来求解双车库的车辆路径问题-Simulated annealing algorithm to solve the vehicle routing problem with double garage
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实现遗传算法和模拟退火算法求解车辆路径问题-Achieve genetic algorithm and simulated annealing algorithm to solve vehicle routing problem
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用遗传算法--模拟退火算法求解车辆路径问题。-Using genetic algorithms- simulated annealing algorithm for vehicle routing problem.
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采用模拟退火算法或禁忌算法求解车辆路径问题-Using simulated annealing algorithm or tabu search algorithm to solve the vehicle routing problem
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模拟退火算法求解车辆路径问题的MATLAB代码(Simulated annealing algorithm for vehicle routing problem)
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采用模拟退火算法求解车辆路径问题
(Using simulated annealing algorithm to solve the vehicle routing problem)
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解决车辆路径问题，改进的模拟退火和遗传算法，全面详细，适用于解决VRP问题和物流车辆规划(To solve the vehicle routing problem, the improved simulated annealing and genetic algorithm, comprehensive and detailed, suitable for solving VRP problems and logistics vehicle planning)
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