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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]

Firstly establishing mechanical model of casing structure , and then processing casing forces analysis using space finite-element method and superposition method(put structure stress and outer force stress together), it computes the stress of casing in three dimensions, and gets the internal force and transmutation. The structure of casing-coadjutor is computed overlaply and the question of contact is solved. In the aspect of design, it provides the mixed integer-discrete variable optimization method of casing cross section size and coadjutor layout.

本文就上述两个问题的最优化设计展开研究,首先建立了套管结构的力学模型,进行套管的受力分析,用了空间有限元法和叠加法(结构应力和外载应力相叠加),对套管进行三维计算,确定结构的内力和变形,对套管—扶正器结构进行整体的叠代计算,解决接触问题;在设计方面,提出了解决套管截面尺寸参数和扶正器布局的混合整数—离散变量优化方法。

Then, according to Radau collocation method, the dynamic optimization problem is converted to a nonlinear programming one that contains continuous and discrete variables.

根据Radau配置法将动态优化问题转化为连续变量与离散变量并存的非线性规划问题。

According to Radau collocation method,the dynamic optimization problem can be converted to a nonlinear programming problem which contains both continuous and discrete variables.

根据Radau配置法将动态优化问题转化为连续变量与离散变量并存的非线性规划问题。

Other semirings arise naturally in such diverse areas of mathematics as combinatorics, functional analysis, topology, graph theory, Euclidean geometry, probability theory, commutative and noncommutative ring theory, optimization theory, discrete event dynamical systems, automata theory, formal language theory and the mathematical modeling of quantum physics and parallel computation systems.

在许多不同的数学领域存在着其它形式的半环,比如组合学,泛函分析,拓扑学,图论,欧式几何,概率论,交换和非交换环,优化论,离散动力系统,自动化理论,形式语言理论,量子物理的数据模型和并行计算系统。

Equal forms with multiobjective function optimization of composite structure,which is suitable for genetic algorithm solving, is constructed. Expression of optimal problem with chromosome including discrete mixed with continuous variables are established.

用评估函数法构造了适用于遗传算法求解的复合材料结构多目标优化问题的等价表达形式,给出了离散变量与连续变量混合优化问题解的染色体表示。

Formalization verification of service composition based on Process Algebra and Discrete Time Ambient-Calculus, as well as combinatorial optimization and the partition method based on QoS mathematic model are deeply studied. The service composition architecture supporting formalization verification and QoS-aware composition has been also implemented. Furthermore, the architecture is applied to digital cartoon cooperation manufacturing in the Internet.

为实现动态的跨企业业务协作与集成,本文围绕服务组合行为的正确性检验以及服务质量保证这二个正交的性质,深入研究了基于进程代数Pi演算及离散时间Ambient演算的服务组合形式化检验,以及基于QoS数学模型进行精确计算的服务组合优化与划分方法。

In this algorithm, at first the reactive power optimization problem is converted to integer nonlinear programming problem with discrete control variables which are solved by IGA; then by use of PDIP algorithm, the continuous variables which can match with the obtained most are solved, and the reactive power optimization is changed into a nonlinear programming problem with continuous control variables.

首先通过改进遗传算法求解无功优化问题中的离散变量,然后采用原对偶内点法求解与已获得离散变量最匹配的连续变量。

The basic idea was to discrete the structure and find the load function according to the energy criterion of buckling and the principle of random displacement method. As the critical load is the minimum of the load function, a problem of frame buckling can be transformed into an optimization problem. Therefore, the critical load can be found through solving the optimization problem.

先将结构离散为一个有限自由度系统;然后根据有限自由度系统平衡稳定性的能量准则和随机位移法的基本原理,建立符合能量准则的载荷函数,该函数不为零的最小值即为临界载荷,由此将稳定问题转化为无约束的多维优化问题;最后应用遗传算法求出相应于最优解的目标函数值。

In the implementation, each complementary condition is reduced to an equation by means of so-called NCP function to solve, the discrete structural optimization problems with standard optimization software.

离散优化到基于NCP函数的连续优化变换在理论上是等价的,可以利用普通的数学规划方法实施求解。

To enhance the monitor efficiency of optimization process, an efficient sensitivity analysis method based on the idea of orthogonal experiment is advanced, which is unlimited to specific algorithm and can be commonly used to discrete, underivable or implicit optimization problems.

在改进寻优算法方面,研究了基于Lagrange函数的适合于求解一般约束问题的神经网络模型算法,探讨了神经元非线性度和拉氏乘子等对优化效率的影响,提出了提高网络优化效率的控制策略。

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