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禁忌搜索算法
    Study on the Model and Its Tabu Search Algorithm for the JD Multi-vehicle Distribution Scheduling Problem
    JD多车型配送车辆调度问题的模型及其禁忌搜索算法研究
    The Capacitated Open Vehicle Routing Problem and Its Tabu Search Algorithm
    带装载能力约束的开放式车辆路径问题及其禁忌搜索算法研究
    Reactive tabu search algorithm for time-dependent vehicle routing problem with backhauls
    适应性禁忌搜索算法求解带回程的时变速度车辆路径问题
    First, the network planning model of inland empty container depot, optimize the layout of the empty container depots, the logistics zones of every empty container depot, and balance flows between empty container depots. And the tabu search algorithm is developed for solving these large scale mix-integer planning problem according to the characteristic of the problem;
    首先建立了内陆集装箱空箱调运网络规划模型,优化了集装箱空箱调运网络的构成、空箱站场服务区域的划分以及空箱站场之间的空箱流量,并根据本问题的具体特征开发了禁忌搜索算法来解决这个大规模混合整数规划问题;
    A tabu search algorithm for the capacitated open vehicle routing problem is proposed.
    提出了一种用于求解带装载能力约束的开放式车辆路径问题的禁忌搜索算法 .
    Based on a mathematic model of the multi-vehicle distribution scheduling problem,the authors find a tabu search algorithm for it through designing a new solution expression method.
    在建立多车型配送车辆调度问题的数学模型的基础上,通过设计一种新的解的表示方法建立了求解该问题的禁忌搜索算法
    To solve the time-dependent vehicle routing problem with backhauls,a mathematical model was constructed and a reactive tabu search algorithm was put forward.
    为求解带回程的时变速度车辆路径问题,建立了问题的数学模型并提出适应性禁忌搜索算法求解。
    This method was a two-phase heuristic method. The original solution was generated through improving traditional heuristic method,and then the initial solutions were optimized by the reactive tabu search algorithm,including the definition of the neighborhood generation mechanism,applying Hash table data structure to store the solution during the search,checking the repetition status of the solution,and the definition of the escaping mechanism from local space.
    适应性禁忌搜索算法为两阶段的启发式方法,改进固定速度下的启发式方法用于生成时变速度下的初始解,然后运用适应性禁忌搜索算法进一步优化,包括邻域生成规则定义,采用Hash表存储搜索过程中的解,检测解的重复状态,定义逃离局部搜索区域规则。
    In the paper,after analyzing genetic algorithm's limit in detail,it forms a hybrid genetic algorithm to solve vehicle routing problem,which consists of genetic algorithm and tabu search algorithm.
    在详细分析遗传算法的局限性的基础上,构造了一种基于遗传算法和禁忌搜索算法相结合的、用于求解车辆路径问题的混合遗传算法.
    The key of the hybrid genetic algorithm is inserting tabu search algorithm into mutation operation and solution determination of genetic algorithm. It can avoid genetic algorithm's "premature" convergence effectively.
    这种混合遗传算法主要是将禁忌搜索算法嵌入到遗传算法中的变异操作与最优解判定之间,可以有效地避免遗传算法易出现“早熟”收敛的问题.
 

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