tabu search algorithm造句

• 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
• 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。
• The optimization quality and computation time of set covering arid tabu search algorithms were analyzed and compared
  摘要分析和比较了集合覆盖和禁忌搜索两种高效布局算法的优化性能和计算时间。
• According to the shortage of the results given in this thesis , some comments on the improvement of the main frame of the tabu search algorithm are presented
  文中还提出了个人对禁忌搜索算法思想框架的一点改进意见。
• Combining advantages of genetic algorithm with tabu search algorithm , a hybrid strategy of tabu search - parallel genetic algorithm ( tpga ) was proposed
  摘要根据并行遗传算法与禁忌搜索算法的优点，提出了一种禁忌并行遗传算法。
• Then this paper sets up a tabu search algorithm for the problem by presenting a new solution indicating method and makes some experimental computations to a transportation net with 21 nodes
  通过设计一种新的解的表示方法构造了求解该问题的禁忌搜索算法，并以21个节点的运输网络为例进行了实验计算。
• Methods for optimization design of discrete variables are summarized . the tabu search algorithm and its application to the optimization design of discrete variables are presented and explained by an example
  摘要概述了离散变量优化方法，介绍了禁忌搜索算法及其在离散优化设计中的应用，并用实例说明之。
• Moreover , based on numerical solving the electromagnetic field by means of finite element method , the tabu search algorithm is used to optimize the structure of the outer - rotor permanent motor . the optimization result is satisfying
  然后，在利用有限元法分析求解电机电磁场的基础上，将禁忌搜索算法实用于轮毂式永磁电机的结构优化设计，取得了良好效果。
• Because of the benefit of the bbl design mode and the insufficiency of the work on it , this dissertation merges the popular representation - " sequence pair " of the placement and the tabu search algorithm , then applies to solve the bbl placement
  基于bbl模式的优点和目前对其研究发展的不充分，本文将当前主流之一的布局表征? ?序列对与禁忌搜索算法相结合，研究了其在bbl布局中的应用。
• This thesis focuses on tabu search algorithms used for the function optimizations . the improvement ideas are proposed and the effectiveness is shown with the testing of both theoretical mathematical functions and a practical magnetic filed optimization problem
  本论文着眼于禁忌搜索算法在函数优化中的应用，提出了有效的改进方案，并通过数学函数和实际的电磁场优化问题测试其改进效果。
• The computational results demonstrates that the high quality solutions to the distribution vehicle scheduling problem with time windows can be obtained by using the new tabu search algorithm , and the new algorithm is also efficient and robust
  计算结果表明，用作者设计的禁忌搜索算法求解有时间窗配送车辆调度问题，不仅可以取得很好的计算结果，而且算法的计算效率较高，收敛速度较快，计算结果也较稳定。
• Since the novel algorithm makes good use of both the efficiency of the set covering and accuracy of the tabu search , in real instance , it achieves better performance than tabu search algorithm with only 8 . 8 % of its computation time
  由于综合利用了集合覆盖算法的快速性和禁忌搜索算法的精确性，实际场景仿真结果显示，新算法仅用禁忌搜索算法8 . 8 %的计算时间，就搜索到比禁忌搜索算法优化性能更好的布局配置。
• 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 . so tabu search is a beneficial complementarity to genetic algorithm
  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；同时遗传算法为禁忌搜索提供的忧质初始解对禁忌搜索算法是一个有益补充。
• This paper improves some commonly used stochastic optimization algorithms , such as genetic algorithm , simulated annealing algorithm and tabu search algorithm , and improved algorithms are verified by the standard mathematical functions . then , improved algorithms are used to solve practical electromagnetic problems and the items of practical application of algorithms worthy of paying attention to are emphasized
  本文对遗传算法、模拟退火算法、禁忌搜索算法等几种常用的随机类优化算法进行了改进，以标准数学函数作为检验依据对改进算法作出评价，并将各改进的算法应用于实际电磁场逆问题的求解，总结其应用的实际经验和见解。
• Based on this background and by the support of the project " the application of the computational intelligence in vlsi physical design " from sichuan science and technology bureau foundation , this dissertation is intended to develop a tabu search algorithm based on computational intelligence methodology for the placement of vlsi physical design
  由此，基于四川省科技厅基金项目? ? 《计算智能在超大规模集成电路物理设计中的应用》 ，本文对计算智能算法中的禁忌搜索算法在vlsi电路芯片布局设计中的应用进行了一些研究。
• 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。
• Based on the analysis of the methods for optimizing the fuzzy neural networks before , this paper has finished following works : 1 ) we proposed a learning algorithm based on tabu search for fuzzy neural networks based on the model of anfis proposed by jyh - shing roger jang . then used the system for one variable function ' s approximation . 2 ) based on the first research , we improved the tabu search algorithm for the purpose of approximating complex functions . 3 ) analysis the capabilities of tabu search , and discuss the approximation ability and generalization ability of the fuzzy neural networks system according to the compute results
  本文在对以前的模糊神经网络参数学习算法进行分析的基础上，做了以下几个方面的工作： 1 )根据禁忌搜索算法的特点，在jyh - shingrogerjang提出的anfis模型的基础上，将禁忌搜索算法应用于模糊神经网络线性和非线性参数的学习上，并将该模型用于单变量函数的逼近； 2 )在第一阶段的基础上，对算法进行了改进，使改进后的算法能够适用于复杂的ii函数逼近问题; 3 )根据计算机仿真的结果，对禁忌搜索算法的性能进行了分析，并对该模糊神经系统的函数逼近能力和泛化能力进行了讨论。
• According to several problems considered in threat assessment , there are basically two components in this process : intent assessment and capability assessment . the bayesian network models of threat identification , intent assessment , capability assessment and threat assessment are constructed . and then tabu search algorithm recommended to solve the weapon - target assignment problem is discussed
  论文首先阐述了贝叶斯网络的理论基础;然后针对威胁评估需要考虑的主要问题,将其分为意图评估和能力评估两个过程,在此基础上,建立了威胁识别、意图评估、能力评估和威胁评估的贝叶斯网络模型,并对禁忌搜索算法用于武器-目标分配进行了初步探讨;最后通过具体的仿真实例,验证了所提出方法的可行性与正确性。