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.
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。
The results of two examples show that the simulated annealing approach can efficiently solve the engineering structural optimization with mixed-discrete variables.
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.
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。
The genetic algorithms, which is based on Gray code, is applied to structure design optimization with mixed discrete variables and nonlinear constraint.
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.
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.
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。
However, this model is nonlinearity and has mixed discrete variables, and can't be solved by normal algorithm.
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.
用MDCP法(混合离散变量组合形法)求解输油管道优化运行的数学模型，可以比较好地解决这一问题。
The Mixed Discrete variable Complex Programming method (MDCP) is used to solute the mathematical model of oil pipeline.
用MDCP法(混合离散变量组合形法)求解输油管道优化运行的数学模型，可以比较好地解决这一问题。
The Mixed Discrete variable Complex Programming method (MDCP) is used to solute the mathematical model of oil pipeline.
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