优化问题

Equal forms with multiobjective function optimization of composite structure,which is suitable for genetic algorithm solving, is constructed. Expression of optimal problem with chromosome including discrete mixed with continuous variables are established.

用评估函数法构造了适用于遗传算法求解的复合材料结构多目标优化问题的等价表达形式，给出了离散变量与连续变量混合优化问题解的染色体表示。

The examples indicate that the algorithm has strong pertinence and high efficiency, hi the discrete variable optimization, the problem is solved in the relative quotient method On the base of analyzing the relative quotient method, the conjugate gradient direction is used to modify the old search directions, the iterative matrix of the algorithm, and the method to resolve the discrete variable optimization, the relative conjugate difference quotient algorithm is presented.

离散变量优化算法是从相对差商法开始的，在详细分析相对差上法的基础上，用共轭梯度方向修正原有的搜索方向，并对算法的迭代矩阵进行相关的修改，最终形成一种用于求解离散变量优化问题的RCDQ法。

Solving constrained optimization problems of improved particle swarm optimization, we want to help.

详细说明：求解约束优化问题的改进粒子群优化算法，希望对大家有所帮助。

An optimal design for a flexible assembly system can be regarded as a constrained optimization problem.

工程设计过程可看作是一约束确定与满足过程，柔性装配系统的优化设计也是一约束优化问题。

A mathematic model of topology problem is built, sensitivity analyzed and Convex Linearization method used for optimization solution.

建立了拓扑优化问题的数学模型，进行了灵敏度分析，采用CONLIN算法进行优化迭代求解，并介绍了消除数值不稳定现象棋盘格的方法。

This paper presents an approach to address the stereo correspondence problem using genetic algorithms so as to obtain a dense disparity map.

提出了一种基于遗传算法进行立体匹配，并获得高密度视差图的方法。遗传算法比其它优化方法具有更强的搜索能力，因此非常适用于求解全局优化问题。

Because of the random of the membership function, which aggregator to be selected and the non-linearity of system, the fuzzy decision goal function is non-convex commonly.

由于隶属度函数定义的任意性、合成算子选择的不同和控制对象的非线性，模糊决策目标函数的优化一般是非凸优化问题。

A stochastic nonlinear programming model of production with delay interaction (which is a static optimization model to solve the dynamic optimization problem) is built up and transformed into a deterministic nonlinear programming model and further into a linear programming model by adding constraints.

首先根据实际需要建立关联方程有延迟的车间生产的随机非线性规划模型，即一种求解动态优化问题的静态优化模型。

The CSD algorithm is shown to be efficient design method for complex system in parallel, and can search out better design for mixed continuous/discrete system in very reasonable number of system analysis compared to traditional optimization method, and is able to deal with the issue of dynamic design requirements.

并行子空间设计算法不仅有效地实现了并行设计思想，而且与传统的优化算法相比，CSD算法降低飞机系统分析的次数，找到系统全局最优解的概率也较高。另外，它还能成功地解决含有离散/连续混合变量的设计优化问题，以及具有处理工程设计中设计要求动态变化的能力。

It is appropriate to deal with the discrete and multi-variable combined optimization problem.

遗传算法是一种基于自然选择和进化机制而形成的一种自适应全局优化算法，它非常合适处理离散的、多变量的组合优化问题。

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。