本节将介绍一个具有多种最佳解的简单问题。
This section of the article describes a simple problem with multiple optimal solutions.
最佳解通常都是其可行域所构成的多面体的一个顶点。
Recall that the optimal solution is always on one of the vertices of the polyhedron created by the feasible region.
本文运用约束随机法进行了弹簧的优化设计，求出最佳解。
The constraint stochastic method is used in this paper to make an optimal design of spring and give an optimal solution.
为达成获得最佳解的目标，分支界定法是最常采用的列举法之一。
With the aim at deriving optimal solutions, branch-and-bound method is one of the most well adopted implicit enumerative approaches.
本文提出一种最佳解耦控制方法。它具有实现容易、计算量小、实时性好等优点。
As a new approach an optimal decoupling control concept is presented which has the advantages of easy realization, few computational work and well real-time ability.
用这种方法可以有效逼近解的局部极小点，但不一定能得到最佳解或最佳的分辨率。
This method can approach local extreme value available, but it is not the optimal solution or optimal resolution.
在为这个问题寻找最佳解而编写GNUMathProg程序之前，需要对其稍微进行一下分析。
Before writing a GNU MathProg program to find the optimal solution for this problem, analyze it a little bit.
在为这个问题寻找最佳解而编写GNUMathProg程序之前，需要对其稍微进行一下分析。
Before writing a GNU MathProg program to find the optimal solution for this problem, analyze it a little bit.
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