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discrete problem相关的网络例句

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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。

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。

A novel particle presentation for the discrete optimization problem was proposed. Hybrid strategy of Genetic Algorithm was used to extend PSO to improve its performance.

利用遗传算法中的杂交策略扩展了粒子群优化算法,提高了粒子群优化算法性能。

For solving discrete optimization problem using DE,based on the idea of mathematic transform,the concepts of adjuvant search space and individual hybrid encoding are advanced.

接着,给出了HBDE的依概率收敛和完全收敛的定义,并利用离散Markov随机理论证明了HBDE是完全收敛的。

To solve the unit commitment that is a typical non-convex, nonlinear, high-dimensional and discrete optimization problem, a binary adaptive differential evolution algorithm is proposed.

针对机组组合这一典型的非凸、非线性、高维、离散的优化问题,提出了一种二进制自适应微分进化算法。

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。

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。

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。

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。

Optimizing the Pumping Parameters(Length of Stroke,Pumping Speed, Plunger diameter and Pump depth) of Sucker-rod Pumping System is a mixed discrete optimization Problem.

优选有杆泵抽油井的抽油参数:冲程、冲次、泵径和下泵深度是一个混合离散变量的优化问题。

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