优化问题

Dynamic Optimization Problems has attracted more and more attention recently, and a number of methods have been introduced to solve them.

近年来，越来越多的演化计算研究者对动态优化问题产生了很大的兴趣，并产生了很多解决动态优化问题的方法。

In this paper, we construct the differential equation to solve the unconstrained optimization problem. Such methods solving the ill-conditioned problems are very effective. It indicates that the asymptotically stable region of explicit the Euler method to solve the differential equation equals to the descent region of the gradient method to solve the original unconstrained optimization problem.

我们发现，在用Euler方法求解二次优化问题的等价动力系统的方程时，由方法的步长确定的稳定区域对应于这些方法所得到的迭代公式的步长满足单调下降算法的条件确定的单调下降区域，因此我们可以利用这个性质构造解无约束优化问题的数值方法而不采用标准的常微分方程的数值求解公式。

At first, a rigor mathematical definition of the problem is presented, then the analytical properties of the feasible region are studied, and the solution existence is examined.

文中建立了暂态稳定预防控制和优化问题的数学优化模型，考查了问题的可行域性质，并由此探讨了解的存在性。

On the basic that existing second-order sufficient condition for an isolated minimizer of order 2 for unconstrained multi-objective optimization, using the so called oriented distance from a point to a set, l-stable function and generalized second-order Peano direction derivative, some second-order sufficient conditions for an isolated minimizer of order 2 for constrained multiobjective optimization problems with l-stable functions are obtained.

在已有的无约束l-稳定函数多目标优化问题的二阶充分条件的基础上，借助定向距离函数和l-稳定函数的性质及引入的广义二阶Peano方向导数，进一步刻画了具有抽象约束的l-稳定函数的多目标优化问题的二阶孤立极小点的二阶充分条件。

The Gradient—Hamilton function method is presented first. Its formula with multiplier function and relax factors quated in solving constrained shape optimization problems is derived. The method is carried out on micro computer to solve shape optimal design of column.

提出了梯度—H函数极值法，并推导出了求解约束形状优化问题时引入的乘子函数和松驰因子的具体公式，在微机上实现了这种方法，并用其解决了立柱的形状优化问题。

Based on this reformulation, we first give the conditions under which the stationary point of unconstrained optimization problem is a solution of GNCP, and then give the conditions under which Hessian matrix of vector-valued function is nonsingular.

基于此转化形式，我们首先研究优化问题的稳定点为GNCP问题解的充分条件，然后建立无约束优化问题的向量价值函数的Hessian矩阵非奇异的充分条件。

This thesis comprises the following: 1 With regard to the shape optimization of car body of flat which is used to load the container, this thesis uses the module HYPERMORPH of software HYPERMESH , manipulates domain and handle and controls the gridding distortion. Get the good gridding quality and make the preparation for the further shape optimization.

针对本论文关于集装箱平车车体的形状优化问题，利用HYPERMESH中的HYPERMORPH模块，通过对"域"和"柄"的操作来控制网格形状的改变，以解决网格畸形问题，得到较好的网格质量，为进一步的形状优化做好准备。

Then its optimization result was presented by means of genetic algorithm because of some discrete parameter , complicated target function and inequation constraint.

考虑到该优化问题的目标函数非常复杂且涉及到不等式约束、离散变量的处理技术等问题，采用了基于遗传算法的优化计算方法。

An infeasible sequential system of linear equations filter algorithm is presented to solve this type of problem.

针对这种具有特定的等式约束优化问题，提出了一种求解不等式约束优化问题的不可行序列线性规划滤子方法。

The high speed advantage of FPGA's operation is made hard to demonstrate for the inconsequence in structural arrangement. The pipeline technology had well solved this problem. We presents a new pipeline optimization technology of inventer's control system based on FPGA,and completed the optimization design of the inventer controller. Analyzed the design process in detail and offered a kind of thought for the people who devoted to FPGA's application in power electronic field.

分析了"流水线操作"等设计优化问题，并针对逆变器控制系统中，控制系统算法呈多层结构，且层与层之间还有数据流联系，其执行顺序和数据流的走向较为复杂，不利于直接采用流水线技术进行设计的特点，提出一种全新的"分层多级流水线"设计技术，有效地解决了复杂控制系统的流水线优化设计问题。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。