还考虑了对离散设计变量的优化设计。
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。
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.
提出了钢筋混凝土连续梁的离散变量优化设计方法。
The discrete variable optimum design of reinforced concrete continuous beams is discussed.
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。
The structural optimum design with discrete variables under stress and section size constraints is performed using this method.
并将此方法应用于离散变量结构优化设计中。
The method has been applied to the optimum design of discrete variable structure.
OTTO法是本文提出的一种可解决混合离散变量优化设计的方法。
OTTO method is proposed for the solution of optimal design of mixed discrete continuous variable in this paper.
并且为了符合工程实际，优化过程中采用了离散的设计变量。
And discrete design variables are used in the process of 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 hybrid algorithm for topology optimization of trusses with discrete variables is developed which combines relative difference quotient algorithm with chaos optimization.
该模型是带有离散变量和连续变量的混合优化设计模型。
The model is concerned to a hybrid optimization design problem with disperse and continuous variables.
结构的基本设计变量按局部平均随机场理论离散。
The structural basic design variables are discretized according to the local average random field theory.
编制了离散变量结构优化设计的计算程序。
The calculation program of discrete optimal design of structures is developed.
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。
According to the higher requirement of multi objective optimum design of mechanical products, the optimization algorithm of gray mixing discrete variables is given.
用模糊动态罚函数遗传算法对钢筋混凝土梁进行了离散变量优化设计。
Fuzzy dynamic penalty function GAs is used to optimize a reinforced concrete beam with discrete variable.
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。
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.
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。
This paper studied antenna structures discrete variables optimum design under multiple loading conditions in accordance with the complexity of antenna structure.
针对多变量非线性离散时间系统设计多模型神经网络解耦控制器。
A multiple models neural network decoupling controller is designed to control the multivariable nonlinear discrete time system.
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, a Fibonacci algorithm (FA) for structural optimization with discrete variables was proposed, and some problems were solved by means of FA combined with GA.
并且建立了对气孔布局参数进行优化设计的数学模型，应用离散变量优化方法进行优化计算，可得到较理想的气垫布孔方案。
The mathematic model of the holes distribution is established in this paper. Calculating the model by dispersion variable optimum method can obtain ideal holes distribution.
因所取的决策变量值即为离散线面的型钢，因而优化结果可直接应用于实际设计中。
Because the used value of decision quantity is nothing but the type steel on discrete cross section, the results of optimization can be directly applied to the practical design.
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。
Then according to the characteristics of structure material, the variables are treated as discreteness, and the model is modified for discrete variables.
为了解决离散变量优化设计问题，采用了一种面向设计、制造的设计变量离散化处理方法。
For the sake of solving the optimization designing problems of discrete variables, a kind of discretized processing method of designing variables oriented to design and manufacturing has been adopted.
本文将其引入到舯剖面横向构件的优化设计牛，以解决连续和离散混合设计变量的优化问题。
It is introduced to solve the mixed variable problems in optimizing the cross-sectional transverse members.
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，较好解决了离散变量优化设计时的难点。
Joined up optimization of continuous variable and discrete variable, the difficult was solved by using the idea of multi-objections.
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。
In engineering design there exist the complicated problems on continuous and discrete variables.
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。
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。
Moreover, the unidirectional searching algorithm (USA) for structural optimization with discrete variables was proposed, and was combined with GA to solve the problems.
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