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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]

In order to implement nonlinear predictive control for the controlled plant, a T-S fuzzy predictive model is built on-line by using fuzzy clustering and linear identification, and discrete optimization of the control action is carried out according to the principle of Branch and Bound method.

算法由两部分组成:第一部分采用模糊聚类和线性辨识方法在线建立系统的T-S模糊预测模型;第二部分基于分支定界法的基本原理对控制量进行离散寻优,从而实现对象的非线性预测控制。

The concept of topology optimization of truss structures with discrete variables including two kinds of variables and the relative difference quotient algorithm for discrete optimization are extended to the topology optimization of plate and shell structures composed by plate and shell elements.

将包含两类变量的桁架结构拓扑优化设计的概念及求解离散优化的相对差商法进一步推广到由板壳单元组成的板壳结构的拓扑优化,建立了包含两类变量的板壳结构拓扑优化设计模型,并采用相对差商算法进行求解。

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。

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。

On the other hands, the application of the particle swarm optimization algorithm in discrete optimization problem—resources constrained project scheduling problem, which is always used in continuous optimization problem, provides some important train of thought and method for resources constrained project scheduling problem as well as widening the application area of particle swarm optimization algorithm.

同时将在连续优化问题中得到成功应用的PSO算法用于离散域的RCPSP,既拓展了PSO算法的应用领域,也为RCPSP的求解提供了一种新的思路和方法。

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。

A novel hybrid algorithm, which combines predictor-corrector primal-dual interior point method and genetic algorithm, is presented for dynamic and static reactive optimization in this dissertation. The algorithm fully make use of the advantage of interior point method in solving successive optimization problem and the advantage of genetic algorithm in solving discrete optimization problem. The original problem is divided into three parts: total successive problem, discrete problem and successive problem.

结合内点法和遗传算法,本文提出了一种新颖的混合算法用于求解动、静态无功优化问题,算法充分利用了内点法易于求解连续优化问题和遗传算法易于求解离散优化问题的优势,将原优化问题分解为初步的连续优化问题、离散变量优化问题、连续变量优化问题这三个子问题分别求解。

The theory, methodology and application of engineering mixed discrete optimization problems are the most attractive branch of modern optimization technique.

工程混合离散变量优化理论、方法与应用,是近代优化设计技术发展的一个非常有实际意义的新分支。

After having an analysis on uncertain optimization problems, the thesis introduces the research results of Ben-Tal and Bertsimas, and mainly has a detail discription on robust linear programming and robust discrete optimization.

论文在对不确定优化问题分析的基础上,对鲁棒优化研究的代表人物Ben-Tal和Bertsimas的研究成果进行了总结,重点对鲁棒线性规划和鲁棒离散优化进行了阐述。

The principle of On2 VP6 video decoder is introduced at first,and then the complexity of decoder is analyzed.Both IDCT(inverse discrete cosine transform) and color space conversion,two most timeconsuming modules of decoder,are carried out the optimization of algorithm.

首先介绍了On2 VP6视频解码器的原理,对其复杂度进行了分析,然后对IDCT(inverse discrete cosine transform)、颜色空间转换等解码器中最耗时的两个模块进行了算法优化。

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