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禁忌算法
    Tabu search algorithm for optimization model of integration of job of 4th party logistics
    用禁忌算法求解第四方物流作业整合优化模型
    A Tabu Search Algorithm for Vehicle Scheduling Problem with Time Windows
    有时间窗约束车辆调度优化的一种禁忌算法
    Study on Multi-depot Vehicle Scheduling Problem with Time Windows and Multi-type Vehicle Limits and Its Tabu Search Algorithm
    多车场有时间窗的多车型车辆调度及其禁忌算法研究
    A Capacitated Multi-commodity Network Design Problem with Side Constraints on Paths and Its Tabu Search Algorithm
    一种带路径约束的多商品流网络设计问题及其禁忌算法
    Bi-level Optimization Model and Tabu Search Algorithm for Industry Location with Stochastic Price
    随机价格条件下的产业选址双层规划模型及其禁忌算法
    Then this paper uses improved genetic algorithm, simulated annealingalgorithm, tabu search algorithm and Hopfield network to optimize VSP with loadlimit.
    然后运用遗传算法、模拟退火算法、禁忌算法以及神经网络中的霍普菲尔德模型对单车场容量约束情况下的车辆调度问题进行优化,并且针对具体情况下不同智能算子的特点进行改进,寻求优化车辆调度问题性能最好的智能算法。
    An improved tabu search algorithm(TS) is designed to realize the integrated VSP with delivery distance and time window limits.
    用改进的禁忌算法实现了有里程和时间窗约束的集送一体化车辆调度问题。
    In this paper optimigation an model for the integration of logistics tasks oriented 4th party logistics with time requirements and risk limits. After defining the neighbourhood of basic variable,integration and consolidation,and studying the tacitics of flexible tabu search,a tabu search algorithm for model of integration of logistics is established.
    建立了考虑时间和风险因素约束的面向第四方物流的物流平台作业整合优化模型,在研究基本变量邻域、作业步邻域、批量整合邻域和柔性禁忌策略的基础上,建立了求解该模型的柔性禁忌算法.
    In this paper,we proposed an optimization model of distribution with a supplier,multi-warehouses and multi-distribution-centers based on analyzing a distribution model with single supplier,warehouse and multi-distribution-center under the condition of centralized control and uncertainty demand and capacity of depot,solves the model with tabu search algorithm. The simulating results denote that it is effective to use our model optimizing the distribution system in the supply chain under the condition of uncertainty demand and capacity of depot.
    基于一个供应商、一个仓库、多个分销中心的供应链分销模型的分析,结合仓库的选址提出了需求和仓库容量不确定条件下一个供应商、多个仓库、多个分销中心的集中控制的供应链分销系统优化模型,并用禁忌算法对模型求解,数值模拟的结果表明模型对需求和仓库容量不确定条件下集中控制的供应链分销系统的优化是有效的。
    Based on binary-coding,a tabu search algorithm(TS) is designed to solve this problem.
    根据该模型的特点转化为确定性的双层规划问题,并且设计优化该问题的禁忌算法
    An Open Vehicle Routing Problem(OVRP) was presented. The concept and principles of kernel route were proposed. Based on kernel route,a tabu search algorithm was designed to solve OVRP with capacity and distance constraints.
    描述了开放式车辆路径问题,提出了核心路径的概念和原理,并设计了解决有能力约束和距离约束的开放式车辆路径问题的禁忌算法
 

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