Function Optimization Problems的意思|示意
函数优化问题
Function Optimization Problems的网络常见释义
函数优化问题 ...年 加入收藏 获取最新 免疫进化算法在函数优化中的应用 罗一丹 【摘要】： 函数优化问题(Function Optimization Problems,FOPs)是科学和工程应用领域经常会遇到的一类数学规划问题,因而对其研究具有十分重要的理论和实际意义。
Function Optimization Problems相关短语
1、 For Function Optimization Problems 对于函数优化问题
2、 solving function optimization problems 函数优化问题
3、 Exploration of Function Optimization Problems 函数最优问题探究
Function Optimization Problems相关例句
It was discussed that the consistent invexity of K S function which is the key function used by maxinum entropy method in optimization problems solution.
对求解最优化问题的极大熵方法中的关键函数—— K- S函数的一致不变凸性作了讨论，得出“K- S函数是一致不变凸的，则一定是不变凸的”结论。
When an evolutionary algorithm is applied to global optimization problems, it may be trapped around the local optima of the objective function and has a low convergence-rate.
一个进化算法应用到全局优化问题的，它可能会陷入周围的局部最优解的目标函数，并具有较低的收敛速度。
Many practical engineering problems can be abstracted to corresponding function optimization problems.
许多实际工程问题可以抽象为相应的函数优化问题。
Hessian matrices are used in large-scale optimization problems within Newton-type methods because they are the coefficient of the quadratic term of a local Taylor expansion of a function.
海森矩阵被应用于牛顿法解决的大规模优化问题。混合偏导数和海森矩阵的对称性海森矩阵的混合偏导数是海森矩阵非主对角线上的元素。
A new filled function with one parameter is used to find a global minimizer for unconstrained global optimization problems.
考虑用单参数填充函数求解无约束全局优化问题。
The simulative experimental results show that it has obvious improvement in multimodal function optimization problems with the case of the average run time reduced to 56% of the former.
仿真实验的结果也表明该算法在平均运行时间减少了56%的情况下多峰函数的优化效果得到了显著改善。