这里列出内点惩罚函数法的六个子程序。
Listed here point penalty function method within the six subroutines.
采用惩罚函数法将约束优化转化为无约束优化。
Penalty function method transfer constrained condition into unconstrained condition.
用优化方法解决离散变量的工程问题，可采用惩罚函数法。
The optimal method-penalty technique can be used to solve discrete variable project problems.
介绍了通过惩罚函数法解决含约束条件遗传算法的实现问题。
This paper proposes the methods of using punishment function to realize GA with constrains, and then constructing GA program by Matlab tools.
利用外点惩罚函数法对回归方程进行优化，得出最佳的结构参数。
The regression equations were optimized through exterior penalty function method. So the best structure parameters were obtained.
在加性噪声情形下，惩罚函数方法是一种简洁有效的谐波信号个数估计方法。
Penalty function based method is a very effective method to estimate the number of sinusoid in presence of additive noise.
选用随机方向搜索法、复合形法和惩罚函数法，取得若干有改进的可行方案。
To achieve this, the random direction search method, box method and the inter-SUMT method are applied, resulting in some improved feasible plans.
本文利用完全线性化方法处理非线性目标函数，用惩罚函数法对拟合参数约束。
In this paper, the non-linear objective function is treated by means of the complete linearization method and the fitting parameters are restricted by using the punished function.
与惩罚函数法相比，可行基规则不需要额外的参数，且指引粒子迅速飞向可行域。
In contrast to the penalty function method, the rule requires no additional parameters and can guide the swarm to the feasible region quickly.
同时为了将不等式约束优化问题转化为单目标优化问题，对惩罚函数法进行了改进。
At the mean time, the penalty function was improved by transmuting the inequality constrained optimization problem into single target optimization one.
利用新梯度的特征，并结合惩罚函数方法，可以获得容量制约下的交通网络流的解。
The Newton method with the new gradient is combined with the interior penalty method to obtain the capacitated network flow solution.
针对非凸规划，本文引进一简单的惩罚函数将其局部凸化，然后用凸规划的方法求解。
To the nonconvex programming, the article makes it local convexification by introducing a simple penalty function into the objective function, and solves it like solving convex programming.
同时利用拉普拉斯密度模型作为特征系数的稀疏惩罚函数，保证了图像结构的稀疏性。
At the same time, this algorithm utilized the Laplace density model as the feature coefficients sparse punitive function to ensure an image's sparse structure.
在此基础上，采用乘子惩罚函数法进行求解，并通过算例证明该方法的正确性和可行性。
The optimization with single-objective and single-constraint is realized by using a technique of multiplier penalty functions.
GENOCOPII 系统采用两步选择方法和退火惩罚函数，从单一的随机初始点进行搜索。
The GENOCOPII uses two-step selection method and annealing penalty function, searches the optimum result from one single point.
在此基础上研究了利用等式约束与不等式约束的惩罚函数法对平面多杆机构进行尺度最优综合的有关问题。
Some problems of optimum synthesis of planar multi-bar linkages are studied by the penalty function method with equality and inequality constraints.
然后结合隶属度变量构建优化模型，利用具有动态惩罚函数的遗传算法求解，计算得到各方案的所属类别。
Then optimization model with the membership degree is constructed. It is solved by using genetic algorithms with dynamical castigatory function.
提出了数组链染色体编码方式，以及基于自适应性变异概率和模拟退火惩罚函数法的适应性遗传算法（AGA）。
This paper proposes the array chain chromosome coding and the Adaptive GA (AGA) that combines the self-adaptive mutation probability and simulation anneal punishment function.
研究了一种计算机辅助的交互式尺寸链自动生成方法和基于惩罚函数法的公差遗传优化算法，编制了相应的软件。
This paper presents a computer-aided method of automatic generation of dimension chains and penalty function-based tolerance genetic optimization, and the corresponding software has been developed.
采用内点惩罚函数法寻求最优值，以小型拖拉机最终传动圆柱齿轮体积最小为目标函数对其进行计算机辅助设计。
The optimizing design model of cylindrical gear of tractor final drive is presented and its target function is min-volume.
本文系统地比较了多种控制器结构和目标函数，设计出了SUMT惩罚函数法与快速仿真相结合的控制器参数寻优程序。
This paper systematically compares many kinds of structure and object function of numerical controllers, designs the optimal program of numerical controllers which combines SUMT with rapid simulation.
根据车削时的加工要求和受力情况，建立切削用量优化设计的数学模型，采用惩罚函数法进行优化，得到了切削用量的优化结果。
An optimization mathematical model of cutting elements is founded by technical requirement and forced condition when turning. The optimum of cutting elements is got by using penalty function method.
阐述了改进的离散变量惩罚函数法的原理，给出了三个过程实现的计算机程序，并把其应用于工程实际，证实了此种方法的有效性。
The improved penalty technique theory is stated and its program can realize in three processes the mechanical optimal design. Its application confirms its efficiency.
许多算法采用引入惩罚函数降低适应度方法使其满足等式约束条件，但太难收敛或解根本不满足约束条件，因此它是遗传算法的一个瓶颈。
It is solved by using penalty function to decrease fitness, but it is too difficult to convergence or to satisfy constrained equations. Therefore constrained equation is a bottleneck for this GA.
针对此模型分析了个人理性与集体理性的矛盾，提出引入惩罚函数来实现在个人理性情况下的集体最优，从而实现了有利于社会的行为控制。
The contradiction between individual sense and society sense is analysed. By importing the punishment function, this contradiction is solved and the behavior control favor of society is realized.
通过对连续变量无约束优化、连续变量约束优化和离散变量约束优化等典型优化问题的计算分析 ，将三种惩罚函数方法进行了比较 ，指出了它们的特点及选用原则。
The selection of the key parameters and genetic operators is discussed. The calculation results of three computational examples are given. The characteristic of the three methods is pointed.
通过对连续变量无约束优化、连续变量约束优化和离散变量约束优化等典型优化问题的计算分析 ，将三种惩罚函数方法进行了比较 ，指出了它们的特点及选用原则。
The selection of the key parameters and genetic operators is discussed. The calculation results of three computational examples are given. The characteristic of the three methods is pointed.
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