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optimization相关的网络例句

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

Since China has implemented the policy of reform and opening up, foreign trade of China has achieved unprecedented success, together with constant optimization of the structure of import and export commodities.

自改革开放以来,我国对外贸易取得了前所未有的成就,进出口商品结构也呈现了不断优化的趋势。

Company leadership attaches great importance to product marketing concepts, in good faith-based, factory-quality, customer-oriented business purposes, the constant optimization of the internal structure.

公司领导高度重视产品经销观念,本着诚信为本,质量兴厂,客户至上的经营宗旨,不断的优化内部结构。

With the constant optimization of the industrial structure, its national economic position and overall comprehensive strength have been promoted by a great margin.

进入 21 世纪,滨州市全力实施"追赶战略",加快了黄河三角洲开发和全面建设小康社会的步伐,产业结构不断优化,国民经济保持了高速增长,综合实力进一步增强。

The Hestenes-Powell augmented Lagrangian function has been used for solving inequality constrained optimization problems via unconstrained minimization techniques.

增广拉格朗日函数法是用无约束极小化技术求解约束优化问题的一类重要方法。

Based upon all above-mentioned, a mathematical representation for multi-material structures is proposed by means of vector level sets, and the general structure topology optimization can be expressed by a constrained functional minimization problem of a set of level set functions.

同时,还提出了在有效约束切空间上构造的非线性映射技术,以改进向量水平集的演化方向,可提高计算效率2到3倍。

Using level-set method, mathematical representation for contimuum structures is proposed by means of the vector of level-set, and the general structure topology optimization can be expressed by a constrained functional minimization problem of a set of level set functions.

其次利用水平集方法将一般拓扑优化问题描述为一组水平集函数的约束泛函极小化问题,应用敏度分析,给出了此泛函极小化数值迭代求解公式,即水平集演化方程。

In order to solve constrained optimization problems efficiently. Two new Evolutionary algorithms are proposed in this paper.

为了有效解决这类约束优化问题,本文提出了两种新算法。

A new method for dynamic nonlinear constrained optimization problems is presented.

研究了一类动态非线性约束优化问题的新解法。

As the optimization problem is constrained, traditional genetic algorithms are no longer applicable to this problem.

由于它是一个带约束的优化问题,传统的遗传算法对它不再适用。

The function of each part of genetic algorithm is analyzed in application to nonlinear unconstrained and constrained optimization.

分析了遗传算法各主要组成部分的功能,研究了遗传算法在非线性无约束和等式约束优化问题中的应用。

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