约束优化

Based on analyzing characteristic of heat exchange with finite element method, the paper transforms the finite element computing problem into a nonlinear optimizing one with some restriction, and solves it using the Hopfield neural network.

根据热传导有限元分析的特点，把有限元计算问题转化为带约束的非线性优化问题，并给出求解决该问题的改进Hopfield网络，最后对一个简单温度场神经计算进行数值仿真。

Discussing the pre-processing of scanning beam and scatter point cloud data, the automatic or interactive filtering techniques and random sample or grid condensability of point cloud data are explained, and a pre-processing method having actual effect is summarized.

研究已有的模型重建技术，如插值和逼近拟合离散点，利用原型的几何及拓扑信息，构建近似模型来逼近原型；基于原型的几何特征和约束的复原为目标，得到优化的CAD模型。

Topology optimization aims at finding the optimal distribution of materials in a prescribed design domain and the optimal way of component connection in a discrete structure.

所谓拓扑优化，就是要在给定的约束条件下，在一块预先给定的设计区域中决定最优的材料分布方式或者构件之间的最优连接关系。

The corresponding optimization calculations with the above LMIs as constraints are respectively presented in order to get a low conservativeness eatimate.

为得到保守性小的估计，分别提出了以上述LMIs作约束的相应优化算法。

According to the characteristic of image sequence, we define a function of motion smoothness and provide the constant acceleration model of feature point.

针对非刚体图象序列的特点，定义了特征点运动的平滑代价函数，并提出了特征点运动的常加速度模型，在此基础之上，将非刚体特征点对应的建立问题表示为一个带约束的优化问题，并用Hopfield网络将其实现。

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。

As the optimization problem is constrained, traditional genetic algorithms are no longer applicable to this problem.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

This code is the use of genetic algorithm to solve constrained optimization problems,which can be directly run.

详细说明：本代码是使用遗传算法解决优化约束问题，可直接运行。

For static constrained multi-objective optimization problems, a new evolutionary algorithm is proposed.

给出了解带约束的静态多目标优化问题的一种新进化算法。

A very good reference procedures genetic algorithm can be constrained optimization functions.

一个非常好的遗传算法参考程序，可以优化带约束条件的函数。

What would he tell Judith and the children?

他将怎样告诉朱迪丝和孩子们呢？

I this is at that time, the opinion with peacockish true girl is full of in a heart.

这就是当时的我，一个心中布满虚荣的女孩子真实的想法。