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discrete optimization problem相关的网络例句

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At present, the particle swarm optimization algorithm in a row on the issue has very broad applications, but in the discrete optimization problem is still trying to stage.

详细说明::目前,粒子群算法在连续问题优化上的应用已经很广泛,然而在离散问题优化方面仍处在尝试阶段。

The particle swarm optimization method is applied to NSBM.Firstly the coding approach is designed and then the particles are sequenced using the priority value vectors which make PSO appropriate for the discrete optimization problem.

首先设计了微粒的编码方法;然后采用了基于优先值向量的排序方法对微粒进行解码,有效的利用了微粒群算法在离散优化中的优势;最后利用批调度策略进行分批处理,获得优秀的可行解。

This thesis proposed two methods of particle swarm optimization and genetic algorithm to optimal reactive power dispatch of transmission systems, respectively. The advantage of these methods is to achieve near optimal solution for discrete nonlinear optimization problem. So this thesis simulates the proposed method for IEEE 30-bus power system and a practical Taipower system.

本论文提出应用粒子群优法演算法和基因演算法,并使用电力潮流分析,调度输电系统中的无效功率,而粒子群优演算法和基因演算法,在求解非线性的离散解时,均能达到可能的最佳解,因此本文应用此两种方法对输电系统作最佳无效功率调度,并且使用IEEE 30-bus系统与实际台电系统作测试,比较此两种方法的调度结果。

A discrete particle swarm optimization algorithm for the collusion problem is also presented based on the optimization model proposed.

在此基础上,提出了基于离散粒子群算法的无线传感器网络共谋问题优化方法。

The rational points of an elliptic curve forms an additive group. The discrete logarithm problem of this group is called elliptic curve discrete logarithm problem.

椭圆曲线上的有理点会形成一个加法群,此加法群上的离散对数问题称为椭圆曲线离散对数问题(elliptic curve discrete logarithm problem)。

The method ofsolution for linear discrete Hilbert boundary value problem on the unit circleis illustrated and it is proved that,in case of the index〓,the solutionsof the discrete Hilbert problems are stongly convergent to the solution of theoriginal problem.

我们给出了单位圆上线性离散Hilbert边值问题的解法,并且证明了当问题的指标k=0时离散Hilbert边值问题的解强收敛于原Hilbert边值问题的解。

With the definition of discrete local minimal solution of an integer programming problem,this paper presents a neighbourhood search algorithm for finding a discrete local minimal solution of the problem.

首先,给出整数规划问题的离散局部极小解的定义,并设计找离散局部极小解的邻域搜索算法。其次,构造整数规划问题的填充函数算法。

In this paper an optimum design method complex method with mixed discrete variables is discussed with the focus on the optimization design of discrete and continuous variables.

针对工程中大量存在的设计变量为离散型和连续型的混合离散变量的情况,探讨了一种优化设计问题的方法———混合离散复合形法。

Mixed Discrete Complex Programming is a mature optimization recently . It is suitable for the questions containing discrete variable .But, its' astringency is slow and easy to be trapped in the partial solution .

离散变量复合型法是当前比较成熟的管道优化算法,适用于求解含离散变量的优化问题,但存在收敛速度缓慢、易陷入局部最优解的缺点。

The dissertation focuses on performance gradient estimation and SRO algorithm of DES aswell as other related topics,such as modeling of DES and discrete event simulation,performancemeasure Hessian matrix estimation,Stochastic Approximationand so on.General Semi-Markov Processis adapted to describe behaviour of DES and discrete eventsimulation.A general result is obtained and applied to analyze strong consistency of performancegradient Perturbation Analysisestimator.Conditions for effectiveness of InfinitesimalPerturbation Analysisare also discussed.New PA algorithms,such as server PA,PA usingDirac generalized function,job sequence PA etc.,are proposed to deal with discreteparameters.Furthermore,strategies of combining PA algorithms with certain iterative rules areanalyzed widely in order to optimize DES parameters and some SRO algorithms are constructed toslove DES optimization problems.

论文将DES性能分析领域中性能梯度估计和单运行仿真优化作为主要的研究对象,探讨了与性能梯度估计有关的DES和离散事件仿真过程建模、高阶导数估计以及随机逼近等理论和方法;建立了具有一般性的DES和离散事件仿真的广义半Markov过程模型;获得了分析性能梯度估计量强相合性的理论结果和无穷小摄动分析算法应用的条件;提出了诸如服务台数目的摄动分析、奇异摄动分析、串联生产线和加工车间中工件加工序的摄动分析等一系列摄动的思想和算法,对连续参数和离散参数都进行了深入的研究;对摄动分析算法同优化规则结合实现仿真优化的策略也进行了广泛的分析,构造了新型的变界截尾的随机逼近算法,并用于DES的单运行仿真优化研究;最后,给出了DES性能分析方法的实证性研究结果。

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