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augmented penalty
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  增广罚
     Two algorithms of SAMT based on the augmented penalty function and the Nelder-Mead simplex method using for unconstrained optimization are described in detail.
     文中详细介绍了SAMT的两种具体算法,都是应用增广罚函数的原理,再采用可变多面体搜索法(单纯形法,Nelder-Mead)求解该函数的无约束极小值。
短句来源
     A new effective technique for the low dimensional (e.g. n<10) engineering optimization problems called SAMT (Sequential Augmented Penalty Function Minimization Technique) is presented in this paper.
     本文给出了适用于小规模(例如维数n<10)工程优化问题的一种新的有效算法,称为SAMT,即序贯增广罚函数极小化方法。
短句来源
  “augmented penalty”译为未确定词的双语例句
     Augmented penalty function method and its application in optimal design of electric machines
     广义罚函数法及其在电机优化设计中的应用
短句来源
     By means of transformation technique [7], the augmented penalty function and the conjugate gradient method, a corresponding programming is arranged and calculation worked out.
     应用“连续变换术”“扩充代价函数法”及“共轭梯度法”,编排了相应的程序,进行了具体计算,得到符合各设计约束,并使目标函数取极值的转子最优扩压因子分布。
短句来源
  相似匹配句对
     On Administrative Penalty
     论行政刑罚
短句来源
     AUGMENTED GRAMMAR
     广义文法
短句来源
     The Purpose of the Penalty
     论刑罚的目的
短句来源
     Augmented penalty function method and its application in optimal design of electric machines
     广义罚函数法及其在电机优化设计中的应用
短句来源
     Augmented(G,H)-Graded Rings
     扩大(G,H)-分次环
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  augmented penalty
A descent method is given for the numerical solution of delayed optimal control problems with fixed delays by first reducing them to nondelayed problems and then using the technique of augmented penalty functions.
      
Augmented penalty functions for delayed control systems
      
A new augmented penalty function technique for optimal control problems
      
Although the augmented penalty function is quite helpful in solving control problems with terminal state constraints, the convergence can be improved significantly by providing systematic increases in the penalty constant.
      
Three augmented penalty function algorithms are tested and compared with an ordinary penalty function algorithm for two demonstration optimal control problems.
      
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On the basis of paper [11], we put forward an "Optimization Flow-Type" problem which requires the designers to consider the optimization of specific performance index of the flow-type characteristics, such as that of work and effeciency of stage.And, according to modern optimizational control theory, a physical model and a mathematical model of optimal flow-type problem are established in this paper and further recast in a typical form of optimal control with free initial constrains of state variables. By means...

On the basis of paper [11], we put forward an "Optimization Flow-Type" problem which requires the designers to consider the optimization of specific performance index of the flow-type characteristics, such as that of work and effeciency of stage.And, according to modern optimizational control theory, a physical model and a mathematical model of optimal flow-type problem are established in this paper and further recast in a typical form of optimal control with free initial constrains of state variables. By means of transformation technique [7], the augmented penalty function and the conjugate gradient method, a corresponding programming is arranged and calculation worked out. Finally, the optimal diffusion factor distribution is satisfactorily obtained.

在文[11]的基础上,进一步地提出“最优流型”的命题,即要求在某些设计约束下,使级的某一特定性能指标(如级的功率或效率等)达到最优值的流型规律。本文根据现代最优控制理论,建立了最优流型命题的物理模型和数学模型,并归化为一个带有初值自由、终端约束及不等式“相约束”的最优控制问题。应用“连续变换术”“扩充代价函数法”及“共轭梯度法”,编排了相应的程序,进行了具体计算,得到符合各设计约束,并使目标函数取极值的转子最优扩压因子分布。结果是令人满意的。文内提出的方法可以方便地推广到其他流型以及其他目标函数和约束条件下的最优命题的求解。

A new effective technique for the low dimensional (e.g. n<10) engineering optimization problems called SAMT (Sequential Augmented Penalty Function Minimization Technique) is presented in this paper. Two algorithms of SAMT based on the augmented penalty function and the Nelder-Mead simplex method using for unconstrained optimization are described in detail. Comparison of results with several test problems obtained by SAMT and SWIFT is given. It is found that SAMT brings fast convergence to the constrained...

A new effective technique for the low dimensional (e.g. n<10) engineering optimization problems called SAMT (Sequential Augmented Penalty Function Minimization Technique) is presented in this paper. Two algorithms of SAMT based on the augmented penalty function and the Nelder-Mead simplex method using for unconstrained optimization are described in detail. Comparison of results with several test problems obtained by SAMT and SWIFT is given. It is found that SAMT brings fast convergence to the constrained optimization problems including the design optimization of three phase transformers.

本文给出了适用于小规模(例如维数n<10)工程优化问题的一种新的有效算法,称为SAMT,即序贯增广罚函数极小化方法。文中详细介绍了SAMT的两种具体算法,都是应用增广罚函数的原理,再采用可变多面体搜索法(单纯形法,Nelder-Mead)求解该函数的无约束极小值。应用SAMT和SWIFT两种算法对三个试验问题和三相变压器优化设计模型进行了计算与比较,结果说明对于有约束的优化问题,SAMT算法比SWIFT算法收敛更快。

A new approach of augmented penalty function method for optimal design of electric machines is proposed,which has the advantage of rapid convergence,automatic boundary search,etc.and avoids the drawback of deterioration in the computational properties.The method is shown to be superior to SUMT method in the application of optimal design for electric machines.

提出了一种新的适用于电机优化设计的广义罚函数法。该方法可以避免增广目标函数的“病态”特性 ,具有收敛速度快、自动边界搜索等优点。在电机优化设计中的应用表明 ,该方法优于SUMT法。

 
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