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tabu search algorithm     
相关语句
  禁忌搜索算法
    Optimization of Discrete Hidden Markov Model Based on an Improved Tabu Search Algorithm
    基于一种改进禁忌搜索算法优化离散隐马尔可夫模型
短句来源
    Hybrid Tabu Search Algorithm for a Class of Freight Vehicle Dispatching Problem
    一类货运车辆调度问题的混合禁忌搜索算法
短句来源
    Research on a Tabu Search Algorithm for Solving Job-Shop Scheduling
    求解Job-Shop调度问题的禁忌搜索算法的研究
短句来源
    Tabu Search Algorithm with Back Jump Tracking for Concurrent Fuzzy Multimachine Scheduling
    多机并行模糊调度带回溯追踪结构的禁忌搜索算法
短句来源
    A Hybrid Tabu Search Algorithm for Constraint Flowshop Scheduling Problems
    约束流水调度问题的混合禁忌搜索算法
短句来源
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  禁忌搜索
    A Tabu Search Algorithm to JOB SHOP Problem in Windows
    Windows环境下的禁忌搜索法解Job-shop问题
短句来源
    Genetic algorithms and tabu search algorithms are two representative metaheuristic algorithms, based on which, we constructed an improved genetic algorithm to solve logistic vehicle routing problem, whose improvement is mainly presented at two aspects: on one hand, as tabu mutation operator, tabu search algorithm is inserted into genetic algorithm, which makes the two algorithms bringing out the best in each other.
    基于这两种算法,我们构造一个改进遗传算法厂仙人学M卜论义 配送中。 O车辆调度问题的叭九 柄公来解决配送车问题,其改进之处主要体现于两方面:第一,我们把t 禁忌搜索嵌入遗传算法中,作为遗传算法的禁忌变异算子,使这两种算法可以互相补充,相得益彰。
短句来源
    Due to tabu search algorithm's great capacity of climbing hill, genetic algorithm's "premature convergence" phenomenon is effectively avoided and, the result quality is improved.
    禁忌搜索以其强大的爬山能力有效地避免了遗传算法中的“早熟”现象,使解质量提高,填补了遗传算法的不足;
短句来源
    In this paper,an improved tabu search algorithm(ITS)is used to optimize the parameters of HMM.
    文章提出了一种改进的禁忌搜索(ITS,ImprovedTabuSearch)优化HMM的参数。
短句来源
  “tabu search algorithm”译为未确定词的双语例句
    The Improvement of Distributed System Survivability Based on Tabu Search Algorithm
    基于Tabu算法的分布式系统可生存性增强
短句来源
    A COMPARISON BETWEEN THE RANDOMIZED HOUGH TRANSFORMATION AND THE TABU SEARCH ALGORITHM IN GEOMETRIC PRIMITIVE EXTRACTION
    随机Hough变换与Tabu搜索算法在基元提取中的比较
短句来源
    4> Based on multi-center of distribution, the vehicle scheduling problem with multi-center distribution is given. A hybrid algorithm of genetic algorithm (GA) and tabu search algorithm (TS) is presented to solve this problem.
    4、针对多配送中心物流配送车辆调度问题建立模型,设计了基于遗传算法和禁忌搜索的混合算法,实验仿真取得了良好的效果。
短句来源
    Traditional tabu search algorithm(TS)is combined with local search algorithm,maximum likelihood(ML )algorithm,which speeds the convergence of the algorithm and can get better solutions.
    传统的TabuSearch(TS)与局部搜索算法(极大似然法)交替进行,从而加快了算法的收敛速度,并得到优化解。
短句来源
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  tabu search algorithm
Numerical results show that the tabu search algorithm produces solutions close to a proposed lower bound.
      
In order to find a "good" solution, we propose a tabu search algorithm.
      
The proposed GA is compared with a tabu search algorithm.
      
Our tabu search algorithm seems to be effective both with respect to time and solution quality.
      
This solution is used to determine the neighborhood for our tabu search algorithm.
      
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The Hough transformation has been a widely used in geometric primitive extraction.It relies basically on an evidence accumulation process.Recently a new family of techniques,namely the optimization based one was proposed which resorts mainly to repeated cost function evaluation process.The randomized Hough transformation and the Tabu search algorithm are the two good representatives of the the Hough family and optimization based family respectively.Although some piecemeal works exist,a systematic comparison...

The Hough transformation has been a widely used in geometric primitive extraction.It relies basically on an evidence accumulation process.Recently a new family of techniques,namely the optimization based one was proposed which resorts mainly to repeated cost function evaluation process.The randomized Hough transformation and the Tabu search algorithm are the two good representatives of the the Hough family and optimization based family respectively.Although some piecemeal works exist,a systematic comparison between these two families of techniques is unavailable in the literature.In this paper,based on a reasonable criterion,namely the expected number of random samples of minimum subset for a single successful primitive extraction,the performance of between the randomized Hough transform and the Tabu search algorithm is compared.The paper shows that the randomized Hough transformation generally outperforms the Tabu search algorithm.In particular,based on a large number of simulations and experiments with real images,it shows that with a comparable performance,the randomized Hough transformation is about twice as fast as the Tabu search algorithm for both line extraction and circle extraction.

Hough变换(HT)是目前应用最广的几何基元提取方法,其基本思想在于通过证据积累来提取基元.最近不少人又提出了通过代价函数的全局优化来提取几何基元的思想.随机Hough变换(RHT)和Tabu搜索(TS)分别是Hough变换和优化方法中的佼佼者.RHT和TS分别基于不同的策略,两种方法的相互比较在许多文献中已有提及,但目前尚无较完整的理论分析和系统的比较.本文在提取单个基元所需对最小点集的采样次数的期望值这一准则的基础上,对两种方法进行了比较.分析表明,随机Hough变换通常要优于Tabu搜索.从我们做的大量仿真和实际图像的实验也可看出,在提取的基元正确率相同的情况下,RHT约比TS快1—2倍.

A method is presented based on heuristics and tabu search algorithms, which can solve scheduling problem of mission path planning with different priority and limit resource. Satisfying result can acquire by dividing the missions in different layers according to their priority and scheduling in these layers. The scheduling algorithm has the advantage of small searching space and high solving speed. The simulation results show the efficiency of the algorithm.

基于启发式搜索和禁忌搜索技术 ,提出一种用于解决有限资源、不同重要性要求的任务路径规划问题的有效算法 ,通过对不同重要程度的任务进行分层调度 ,得到较为满意的决策结果。该算法具有搜索空间小、求解速度快的优点。仿真结果验证了算法的有效性

The automatic optimization of enterprise process model parameters is an optimization problem of the objectives and parameters system. This problem can be changed into the issue solving only one objective and parameters the system optimization with by linearity weighting method. Based on it, an automatic optimization technique in enterprise process modeling based on computer simulation is discussed in this paper, which combines FR (fletcher-reeves) method and TS (tabu-search) algorithm. The...

The automatic optimization of enterprise process model parameters is an optimization problem of the objectives and parameters system. This problem can be changed into the issue solving only one objective and parameters the system optimization with by linearity weighting method. Based on it, an automatic optimization technique in enterprise process modeling based on computer simulation is discussed in this paper, which combines FR (fletcher-reeves) method and TS (tabu-search) algorithm. The technique uses FR method to obtain the local optimization solutions, and uses TS algorithm to discover the global optimum in the sense of probability. The concept of tabu-area table is firstly proposed, and the tabu-list is improved from the two dimensions array to one dimension array, which uses to record the trace of optimize of the process model. FR method is improved by introducing search direction determining while near to the local optimization solutions so as to solve the peak and zigzag curve problem. The new technique can be generalized for model parameters optimization in the arbitrary curves, and be instructive for enterprise to implement BPR (business process reengineering) and ERP (enterprise resource planning) management.

企业过程模型参数自动优化是一个多参数多目标的系统优化问题.采用线性加权法将其转换成多参数单目标问题的求解,提出基于计算机模拟的企业过程模型参数的自动寻优方法.它将传统的共轭梯度法FR(fletcher reeves)和禁忌搜索算法TS(tabu search)结合起来,采用FR法进行局部寻优,由TS法实现从当前局部最优点向全域范围内的更优区域转移,循环往复达到求出全域范围最优点的目的.改进了FR法与TS法,克服了各自的缺陷,并提出禁忌区域表的概念,从而加速寻优过程.它适用于任意多维曲面的多极值问题最优求解,对企业进行BPR(business process reengineering)和实施ERP(enterprise resource planning)管理有较大的指导意义.

 
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