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discrete optimization相关的网络例句

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与 discrete optimization 相关的网络例句 [注:此内容来源于网络,仅供参考]

Discrete version of PSO, MATLAB environment to solve the problem of discrete optimization helpful.

离散版粒子群算法,MATLAB环境中的,对求解离散优化问题很有帮助。

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。

The algorithm is proved to be convergent theoretically and implemented for numerical calculation.Thirdly, two kind problems of multi-unit system maintenance based on the discrete-state deterioration model are analyzed:To achieve the optimization aim of series system consist of two types of units with different failure mode, an opportunistic policy is presented to combine the corrective and condition-based maintenance. The optimal model based on this policy is built and an iteration algorithm based on sequential decision is proposed according to the characteristic of discrete-state deterioration model.

第三、在部件优化分析的基础上,针对基于离散状态劣化模型的多部件系统视情维修决策中的两类典型问题,提出了相应的机会维修策略和优化分析方法:(1)针对串联系统由分别采用视情维修和事后维修的两类部件组成的情况,提出了一类事后维修与视情维修相结合的机会策略,建立了相应的多部件系统维修优化模型,并根据离散状态劣化模型的特点,提出了一类基于序贯决策的求解方法。

By using the transfer matrix method of multibody system, the hard problem of computation of the vibration characteristics of LRMLRS coupled with rigid bodies and elastic bodies is solved which is very difficult to the ordinary dynamic methods, and the vibration characteristics of LRMLRS which is varied when the number of rockets in the launch device is varied, is obtained conveniently. By developing augmented eigenvectors of the LRMLRS and its orthogonality conditions, the nonorthogonality problem of the multibody system including rigid bodies and elastic bodies is solved and the exact analysis of the dynamics response of the LRMLRS including rigid bodies and elastic bodies is realized. By using the random integer programming method, the hard optimization problem which contains continuous variables, discrete variables and random variables at the same time is solved. This method provides a technology for optimum design with random variables and discrete variables. The dynamic optimum design is realized to decrease the number of rockets consumption in the LRMLRS test. The simulation system of dispersion of fire is established by using the maximum entropy method to estimate dispersion of fire.

通过应用多体系统传递矩阵法,解决了刚弹耦合远程多管火箭多体系统振动特性这一通常力学方法不便于解决的计算难题,方便地获得了远程多管火箭振动特性及其随发射架上火箭弹个数变化而变化的情况;通过构造增广特征矢量及其正交性条件,解决了刚弹耦合多体系统特征矢量不具有通常意义下的正交性的难题,实现了对刚弹耦合远程多管火箭动力响应的精确分析;应用随机整数规划法,解决了同时考虑连续、离散和随机变量等多种设计变量的优化设计难题,为含随机和离散变量的优化设计提供了手段,实现了减少远程多管火箭试验用弹量的动态优化设计;建立了应用最大熵法估计的密集度仿真系统,优化射序和射击间隔,实现了提高远程多管火箭射击密集度的动态优化。

In accordance with discrete, non-symmetry and time-delay feedback neural networks, we provide some theoretical criteria to judge the stability for designing the networks. On continuous feedback networks, we built an algorithm to estimate the convergence region. On the HNN feedback networks, an effective optimization algorithm based on the annealing strategy and the chaotic neural network is presented, and some disciplinary conclusions are provided to guide the selection of parameters. Simulation results on benchmark problems demonstrate that the performances of our algorithm are distinctly superior to those of the classic HNN based on gradient descend and stochastic optimization methods based on probabilistic distribution.

针对离散、非对称和时延等三种类型的动态反馈网络,给出了可用于网络设计的稳定性判别准则;针对连续动态反馈网络,建立了其收敛域估计的一个算法;针对以HNN模型描述的动态反馈网络,基于退火策略和混沌神经网络提出了一种高效的优化算法,建立了可用于指导参数选择的一些规律性结论,对典型算例的仿真研究显示,改进算法在各类性能上相对基于梯度下降的传统HNN模型和基于概率分布的随机优化算法,具有明显的优越性。

The genetic algorithm is a kind of self-adapting optimization method based on the mechanics of natural selection and evolution. It is appropriate to deal with the discrete and multi-variable combined optimization problem.

遗传算法是一种基于自然选择和进化机制而形成的一种自适应全局优化算法,它非常合适处理离散的、多变量的组合优化问题。

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。

By defining time span combination, the continuous varying parameter optimization problem is transformed to discrete multi-parameter optimization problem and model is constructed.

引入时段组合的概念,将连续问题转化成离散问题,将变参数优化问题转化成多参数优化问题,建立了相应的数学模型,并给出简化求解的方法。

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