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optimization problem相关的网络例句

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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。

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。

This paper introduces a modified discrete particle swarm optimization which deals with linear order problem.

提出一种优化线性顺序问题的简便的离散粒子群算法。

A discrete particle swarm optimization algorithm is presented to tackle the quadratic assignment problem.

摘要提出了一种求解二次分配问题的离散粒子群优化算法。

Three solution algorithms for classical transportation continuous/discrete/ mixed network design problems are designed based on particle swarm optimization approach, in which the continuous NDP is studied in detail, discrete and mixed NDP are only described the frameworks of the solution algorithms.2. Generally, road capacity constraints must be added to the lower level problem of classical discrete NDPs bilevel programming model in order to avoid traffic assignment on candidate roads.

本论文研究工作主要有如下几个方面:(1)基于粒子群优化思想设计了求解传统的城市道路交通网络设计问题的算法,其中详细研究了连续网络设计问题,并用两个网络例子进行了数值实验;并给出了离散网络设计问题和混合网络设计问题的求解算法思路和主要步骤。

Due to the discreteness of transformer taps and the switching of shunt capacitance/reactance banks, the rigorous reactive power optimization is the problem of Mixed-Integer Nonlinear Programming involving both discrete and continuous variables.

在电力系统无功优化过程中,由于有载调压变压器分接头的存在和补偿电容/电抗器分组投切的离散特性,使得严格意义上的无功优化问题成为一个离散变量和连续变量共存的混合整数非线性规划(Mixed-Integer Nonlinear Programming,MINLP)问题。

With this approach the problem of optimization of machining technological parameters for EDM finishing has solved.

为三维复杂型腔电火花加工的工艺过程的优化提供了一种较好的方法。

In image processing, no matter image modeling, representation of image contents, description of image feature,design of image processing operator, or energy functional minimization of image optimization procedure, all can be upgraded to a mathematic problem.

在图像处理中,无论是图像模型的建立,图像特征的描述,图像处理算子的设计,还是图像优化处理中的泛函极小化,最终都可归结为一个数学理论问题。

After theoretic analyzing support vector machine technique, the equipollence of support vector classification and regression problems is proofed, and a uniformed expression of support vector machine problem is gotten. The noise stained case is studied emphatically, and the experiment shows that a better result will be obtained by assigning weight factor to fit noise distribute characteristic. A multi-multiplier minimal optimization algorithm for norm-1 problems is deduced, and a kind of improved Gilbert geometric algorithm for norm-2 problems is introduced, which is applied in regression problems successfully.

课题细致深入地讨论和研究了软测量模型的三个基本问题,首先是软测量模型的可实现性,即软测量模型存在唯一解的条件,以及知识利用的度量等一些相关的概念,体现出混合软测量模型在知识利用有效性上的优势;然后对模型不确定性的概念进行了讨论,研究了模型可靠性问题,得出测量精度与软测量模型可靠性之间的关系;最后讨论了软测量模型与传统软测量方法的关系,说明软测量模型是传统软测量方法的发展。

For a class of bilevel multi-objective decision,this paper converts it into the problem of equivalent single-level multi-objective decision,then makes use of the inversion property of the genetic algorithm with the ergodic property of the chaos optimization method.

针对求解一类二层多目标决策问题,首先将其转化为等价的单目标决策问题,然后利用遗传算法优化的反演性和混沌优化方法的遍历性,并结合精确不可微罚函数求解非线性约束优化问题,提出了求解此类问题的混沌遗传算法。

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