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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
    Application of Tabu Search Algorithm to Optimal Arrangement of Stations for Gas Gathering and Transferring Network
    禁忌算法在集输管网布站设计中的应用
    Design and implementation of tabu search algorithm for optimizing transit network
    公共交通网络优化的禁忌算法设计与实现
    An Improved Tabu Search Algorithm(TS) for the Single-depot Vehicle Scheduling Problem
    单车场多送货点车辆调度优化的一种改进禁忌算法
    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。
    Becausemass customization has gone beyond traditional cost estimation methods; thisdissertation puts forward a new means of cost estimation built on soft computingmethod in different processes of product life cycle such as designing, manufacturingand logistics, which includes simulated annealing algorithm, wavelet neural networkalgorithm, genetic algorithm, Tabu search algorithm and so on.
    由于传统的成本估计方法存在局限性,因此,本文提出了新的成本估计方法:在产品的设计、制造、物流等生命周期的不同阶段,提出了基于包括模拟退火法、小波神经网络、遗传算法、禁忌算法等在内的软计算方法的成本估计方法。
    This paper sets up the mathematic model of the pickups and deliveries vehicle routing problem with hard-windows, design a hybrid genetic/tabu search algorithm to solving this problem.
    考虑到现代物流的时效性因素,本文建立了配送和集货一体化下带硬时间窗的车辆路线问题的数学模型,针对问题的复杂性,设计了适合求解该问题的混合遗传禁忌算法
    This paper describes a new method for the parameter identification of large salient synchronous generators based on the combination of the tabu search technique and finite element method In order to overcome the drawback of being trapped in local optimum, some improvements are made on the tabu search algorithm so far used for combinational optimization problems. The numerical results of parameter identification of a 300 MW generator validate the present method.
    提出了大型凸极同步电机参数辨识一种新方法:改进禁忌方法和有限元方法相结合的混合算法,为克服现有组合优化禁忌算法易于陷入局部极值点的不足,对禁忌算法进行了改进,某台300MW凸极同步电机参数辨识结果验证了本方法的正确性。
    Considering the disadvantages of the very small searching area of conventional Tabu search and strong dependence upon initialization points at dealing with continuous problems,an improved tabu search algorithm was proposed.
    针对常规禁忌算法处理连续问题时搜索范围小,对初始点的依赖性强等不足,对算法进行了改进,并将禁忌算法的离散化过程进行了修改,提出了二阶段禁忌算法
    This paper presents two kinds of intelligent methods for multi-depots vehicle scheduling problem(MDVSP), and uses Tabu Search algorithm(TS) to optimize MDVSP with weight limit.
    针对物流配送中的多车场车辆调度问题提出了两种多车场的智能处理方法,并且用禁忌算法优化了容量约束的多车场VSP问题.
    Both the advantages of tabu search algorithm and those of genetic algorithm are integrated into this algorithm. This algorithm avoids the shortage of global search capability of the tabu search algorithm, improves the mountain climbing capability of the genetic algorithm, solves the problem of being easily immersed in local optimization in the genetic algorithm and enables the search course to have a memory capability.
    该算法结合禁忌搜索算法和遗传算法二者的优点,既克服了禁忌算法全局搜索能力的不足,又提高了遗传算法的爬山能力,还解决了遗传算法容易陷入局部最优的问题,并使搜索过程具有记忆功能。
    <Abstrcat> In the study, an improved tabu search algorithm (TS) is introduced to the vehicle scheduling problem(VSP) with single depot in complex conditions .
    针对单车场复杂情况下的车辆调度问题提出了一种改进的禁忌算法
    The calculated results of some examples demonstrate the feasibility and validity of the Tabu search algorithm better than that of the simplex algorithm.
    计算结果表明,禁忌算法优于单纯形算法,具有一定的可行性和有效性。
    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。
 

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