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Conjugate gradient method is a significant method in solving nonlinear optimization problems.

共扼梯度法是求解非线性优化问题的一种重要方法。

In order to reduce the design conservativeness, a condition for the existence of a parameter-dependent separator is proposed, and further the filter design can be converted into the optimization problem involving linear matrix inequalities.

为进一步降低设计的保守性,文中还给出了一种依参数分离算子的滤波器存在条件,并将滤波器设计转化为线性矩阵不等式表述的凸优化问题

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。

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As the optimization problem is constrained, traditional genetic algorithms are no longer applicable to this problem.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

Trust region method is a kind of efficient and robust method to solve general constrained optimization.

对于一般的约束优化问题,信赖域方法是一种比较有效的方法。

In the third chapter we discuss LC1 constrained optimization problem .

第三章讨论了LC~1约束优化问题

A new adaptive penalty function is presented to solve constrained optimization problems.

提出一种新的自适应惩罚函数法,用来处理约束优化问题

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