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discrete optimization problem相关的网络例句

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

The examples indicate that the algorithm has strong pertinence and high efficiency, hi the discrete variable optimization, the problem is solved in the relative quotient method On the base of analyzing the relative quotient method, the conjugate gradient direction is used to modify the old search directions, the iterative matrix of the algorithm, and the method to resolve the discrete variable optimization, the relative conjugate difference quotient algorithm is presented.

离散变量优化算法是从相对差商法开始的,在详细分析相对差上法的基础上,用共轭梯度方向修正原有的搜索方向,并对算法的迭代矩阵进行相关的修改,最终形成一种用于求解离散变量优化问题的RCDQ法。

In this paper, no-wait flow shops scheduling problems for a mixed discrete particle swarm optimization, through the establishment of the location of the vector encoding and scheduling program of mapping relations between the continuous particle swarm optimization algorithm is applied to discrete no-wait flow shops scheduling problem.

针对无等待流水线调度问题提出了一种混合离散化粒子群优化算法。通过建立位置矢量编码与调度方案之间的映射关系将连续的粒子群优化算法应用于离散的无等待流水线工件调度问题。

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。

Moreover this paper introduced them to a new discrete optimization area: expert assignment problem.

此外,本文还将这两种算法成功应用到一个新的领域——专家分配问题。

The unit commitment is a large scale,discrete and non-linear mixed integer optimization problem.

电力系统机组组合问题是一个高维数、非凸、离散、非线性的混合整数优化问题。

On the other hand, if the damage position and the damage size are used for description of the structural damage, the mathematical model is actually stated as a discrete structural optimization problem with unknown number of design variables, since the number of damages can not be given in advance.

本文采用极大极小问题构造损伤识别的优化模型,通过凝聚函数将极大极小问题转化为一个目标函数连续可微的无约束优化问题,采用基于灵敏度分析的序列线性规划方法求解。

It is a general framework algorithm, which has fast convergence performance and is easy to implement. PSO can be conveniently applied to solve complicated nonlinear, noncontinuous, multi-dimensioned optimization problem with discrete variables and multiple restrictions.

它收敛速度快、计算简单、通用性强,能方便地被用于求解带离散变量的非线性、不连续、多约束、多变量的复杂优化问题中。

We construct algorithms in which directions are computed by these two systems and the step-sizes are generated by Armijo line search to solve the original constrained optimization problem and prove that the discrete scheme based on the differential equation system with the second order information has the locally quadratic convergence rate under the local Lipschitz condition.

我们构造了搜索方向由两个微分系统计算,步长采用Armijo线搜索的算法分别求解这个约束最优化问题,在局部Lipschitz条件下基于二阶信息的微分方程系统的迭代方法具有二阶的收敛速度。

Combination optimization problem has many extensive application backgrounds, and its objective is to find the optimal combinations of discrete status in the solution space.

组合优化问题具有广泛的应用背景,它的目标是寻找解空间中离散状态的最优组合。

Some new concepts and algorithms are proposed,such as jobnomial sequence,job perturbation sequence,neighbourhood of job nomial sequence and jobsequence perturbation analysis.These job sequence PA algorithms extend PA techniques aboutcontinuous parameters to discrete parameters and provide some new kinds of tools for solving suchcombination optimization problem.

论文提出了工件序的邻域、摄动序等概念以及对工件序进行摄动分析的思想和算法,将传统的PA算法从连续参数领域推广到离散参数的组合优化领域,为此类组合优化问题增添了新的求解工具。

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Since this year, in a lot of villages of Beijing, TV of elevator liquid crystal was removed.

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