The degree of polymerization of high polymers are discrete variables.
高聚物聚合度的计算有很多方法。
Until the mid-17th century, maths had been required to handle only discrete variables.
直到17世纪中期，数学只能处理离散变量。
In engineering design there exist the complicated problems on continuous and discrete variables.
在工程设计中，常遇到连续变量和离散变量同时存在的错综复杂问题。
However, this model is nonlinearity and has mixed discrete variables, and can't be solved by normal algorithm.
但该模型具有非线性、混合离散变量等特点，用常规的优化算法不能求出其最优解。
It is an inevitable problem to set up a predict equation of discrete variables regression in the practice work.
在实际工作中，建立离散变量的回归预报方程是一个不可回避的问题。
Both factors, identity in particular, are usually represented by discrete variables in most existing ATR algorithms.
在通常的AT R系统中，这两个因素，尤其是身份，通常是以离散变量来描述的。
By means of binary encoding technology, all discrete variables are converted into linear combination of several 0-1 variables.
该方法通过对离散变量进行二进制编码，从而将离散变量转化为若干0 - 1变量的线性组合。
The structural optimum design with discrete variables under stress and section size constraints is performed using this method.
这种方法能直接求解具有应力约束和几何约束的离散变量结构优化设计问题。
By using the smooth function and filter function, the discrete variables and continuous variables were transformed conveniently.
借助于磨光函数和过滤函数，实现了离散变量和连续变量之间的相互转换。
Therefore, the research on topology optimization of structures with discrete variables has important theoretic significance and actual significance.
因此，离散变量结构拓扑优化的研究具有重要的理论和实际意义。
Essentially, optimal reactive power dispatch is the multi-restraint overall optimization problem with plentiful local minima and discrete variables.
从本质上讲，无功优化调度问题是具有大量的局部极小值的多约束全局优化问题，且含有大量的离散变量。
This method and the numerical solutions show that the method is also suitable for pure mathematical optimization problems with 0-1 discrete variables.
该方法对于纯数学的0 - 1离散变量优化的求解也适用，方法与数值都表明了这一点。
The genetic algorithms, which is based on Gray code, is applied to structure design optimization with mixed discrete variables and nonlinear constraint.
将基于格雷码的遗传算法用于求解结构的混合离散变量非线性约束优化问题。
Then according to the characteristics of structure material, the variables are treated as discreteness, and the model is modified for discrete variables.
其次根据材料特点，将设计变量取为离散变量，给出了天线结构的多工况离散变量优化设计数学模型。
Based upon an idea on full stress design, a quasi full stress design method is presented for structural optimum design with discrete variables in the paper.
以满应力设计思想为基础，提出了离散变量结构优化设计的拟满应力设计方法。
In the second part, we mainly consider oscillations of solution of some linear and nonlinear partial difference equations with discrete variables and delays.
第二章主要是研究某些类型的线性或非线性的带有离散时滞的偏差分方程解的振动性的判别法。
Many complex dynamical networks in real world haven t simplex continuous or discrete variables any more, but both continuous-state and discrete-state existence.
现实世界中许多复杂动力网络的状态不仅仅是单纯的连续变量或离散变量，而是两者同时存在与作用。
Based on the PSO, we introduce the inertia factor and construct the discrete position set and the discrete speed set, express the discrete variables accurately.
在基本粒子群算法的基础上，引入了惯性因子，并对离散变量进行了处理，直接构造了离散解值集和离散速度值集。
This paper studied antenna structures discrete variables optimum design under multiple loading conditions in accordance with the complexity of antenna structure.
针对天线结构受载及工作状态的复杂性，研究了天线结构的多工况离散变量优化设计问题。
In sizing optimization of truss with discrete variables, joined up optimization of continuous variable and discrete variable, the idea of multi-objections is used.
对离散变量的析架尺寸优化问题，本文提出了采用多目标规划的思想、将离散变量优化和连续变量优化结合起来的求解方法。
The results of two examples show that the simulated annealing approach can efficiently solve the engineering structural optimization with mixed-discrete variables.
算例表明该方法能有效地解决工程结构混合离散变量的优化问题。
According to the higher requirement of multi objective optimum design of mechanical products, the optimization algorithm of gray mixing discrete variables is given.
根据机械产品对多目标优化设计的更高需求，提出了灰色—混合离散变量多目标寻优算法。
Moreover, a Fibonacci algorithm (FA) for structural optimization with discrete variables was proposed, and some problems were solved by means of FA combined with GA.
提出一种离散变量结构优化设计的斐波那契算法，并与遗传算法结合在一起解决问题。
Moreover, the unidirectional searching algorithm (USA) for structural optimization with discrete variables was proposed, and was combined with GA to solve the problems.
并提出一种离散变量结构优化设计的单向搜索算法与遗传算法结合在一起解决问题。
Discrete variables occur naturally, as from a scanning radar that obtains position data once per scan or a data channel that transmits many pieces of information in turn.
从扫描雷达每次扫描中获得位置数据或者从轮流传输数据的通道获取信息，很自然地就得到可离散变量。
A hybrid algorithm for topology optimization of trusses with discrete variables is developed which combines relative difference quotient algorithm with chaos optimization.
将相对差商法和混沌优化结合起来，形成求解离散变量桁架结构拓扑优化设计的混合算法。
A new engineering method for dealing with discrete design variables for design and manufacture was put forward in order to solve optimal design with mixed discrete variables.
为了解决混合离散变量机械设计问题，提出了一种面向设计、制造的设计变量离散化处理方法。
Analyzing about the usual methods of score, pointing out the disadvantage of forecast score of discrete variables, a new method of forecast technic score(FTS) was bring forward.
对常用的几种评分方法进行了分析讨论，指出了用于离散型变量的预报评分存在的问题，并提出了一种新的预报技术评分方法。
A Hybrid fuzzy neural network modeling method was presented. On the basis of CCT fuzzy neural network and fuzzy cluster method, this method can deal with discrete variables input.
针对模糊神经网络不能接受离散标称变量输入的缺陷，在CCT模糊神经网络和模糊聚类方法的基础上，提出了一种混合模糊神经网络建模方法。
A Hybrid fuzzy neural network modeling method was presented. On the basis of CCT fuzzy neural network and fuzzy cluster method, this method can deal with discrete variables input.
针对模糊神经网络不能接受离散标称变量输入的缺陷，在CCT模糊神经网络和模糊聚类方法的基础上，提出了一种混合模糊神经网络建模方法。
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