| 1. | Penalty function for the nonlinear complementarity problem
非线性互补问题的罚函数法 |
| 2. | Monte - carlo method for calculating multiple integral and its optimized method
应用内外混合罚函数法 |
| 3. | 3 ) improving the method of penalty function inosculating with simulated annealing . delivery is very important in logistics system
3 )融入模拟退火算法降温处理的知识，对约束条件处理的罚函数法进行了改进。 |
| 4. | The collision is considered in the solution , so that the manipulator based on this solution method can move more flexible
同时在求解的过程中利用罚函数法，对逆解过程进行避碰优化，使得基于该逆解方法的机械手运动控制更具灵活性。 |
| 5. | Based on the variational characteristic of eigenvalue , the neural network solving method of other eigenvalues based on penalty function method was presented
从特征值的变分特性出发，给出了基于罚函数法的其他特征值的神经网络求解方案。 |
| 6. | In this method , penalty functions were used as constraints , and each particle was used to represent a group of rules set to describe concrete batching planning
在该方法中，采用罚函数法处理约束条件，每个粒子都代表一组可用于描述具体批量计划方案的规则组合。 |
| 7. | There are considerable numbers of research concerning finite element method on contact problem and a lot of techniques such as mathematics programming , penalty method and so on
针对于接触问题的求解，目前已经发展了很多计算方法，如数学规划法、罚函数法等。 |
| 8. | It confirms the movement equation of particle and adopts death penalty function to deal with all constraint term , and provides with the step of algorithms to solve 0 / 1 knapsack problem
确定了该算法中粒子的运动方程，采用死亡罚函数法处理了约束条件，给出了该算法求解0 / 1背包问题的实现步骤，并对实验数据进行了测试。 |
| 9. | We present and analyze a modified penalty functions ( mpf ) method for solving constrained optimization problems with inequality constraints . this method combines the modified penalty and the lagrangian methods
本文提出并分析一种解决不等式约束最优化问题的修改的罚函数法，这一方法综合利用修改的罚函数和拉格朗日法。 |
| 10. | It is based on mpf , which treats inequality constraints with a modified penalty term . the mpf method alternatively minimizes the mpf and updates the lagrange multipliers . the mpf method avoids the in - differentiability of the max { x , 0 }
修改的罚函数法所用的罚函数消除了经典罚函数的主要缺点，修改的罚函数存在解，且在解的邻域内保持目标函数和约束函数的光滑性。 |
