搜索资源列表
One-dimensional_search_method.
- 无约束优化问题一维搜索的常用方法：黄金分割法（golden_section.m）、加步搜索法（plus_step_search.m）、牛顿法（newton.m）、抛物线法（parabola.m）,Unconstrained optimization problem of one-dimensional search of the commonly used methods: Golden Section (golden_section.m), plus step-by-step search m
wuyueshuyiweijizhi
- 最优化计算中一维无约束极值问题，适合初学者入门学习！-Optimize the calculation of one-dimensional unconstrained extremum problem, suitable for beginner to learn!
D9R6
- 用于无约束优化的鲍威尔优化方法， 程序中参数解释如下：//P:存放设计变量 //XI：存放两个线性无关的向量 //N：含有N各元素的一维实型数组，用于存储设计变量 //NP:整形变量，用于存储P与xi的维数 //FTOL：迭代精度 //FRET：输出参数，存放目标函数在找到的近似极小值点处的值 //ITER:迭代次数-For unconstrained optimization of the Powell optimization methods, procedure
gold_segmentation_algorithm
- 一维无约束搜索算法―黄金分割算法（MATLAB代码）-Unconstrained one-dimensional search algorithm ——gold segmentation algorithm （MATLAB code）
SBOGA
- 顺序选择遗传算法，可以求解一维无约束优化问题-The order of selection genetic algorithm can solve the one-dimensional unconstrained optimization problems
SBOGA
- SBOGA(顺序选择遗传算法求解一维无约束优化问题),我自己编的，-SBOGA
genetic-algorithm
- 用基本遗传算法求解一维无约束优化问题 用顺序选择遗传算法求解一维无约束优化问题 用动态线性标定适应值的遗传算法求解一维无约束优化问题 用大变异遗传算法求解一维无约束优化问题 用自适应遗传算法求解一维无约束优化问题 用双切点遗传优化求解一维无约束优化问题 用多变异位自适应遗传优化求解一维无约束优化问题 -The basic genetic algorithm with one-dimensional sequence of unconstrained optimizat
OptimumDM
- 机械优化设计一维、多维约束、多维无约束优化算法集成。包括：黄金分割法、牛顿法、梯度法、随机方向法、可行方向法等-Optimization of Mechanical Design dimensional, multi-dimensional constraints, multi-dimensional integration of unconstrained optimization. Include: golden section method, Newton method, gradient
NormFitGA
- NormFitGA(动态线性标定适应值的遗传算法求解一维无约束优化问题)-NormFitGA (dynamic linear calibration of genetic algorithm to adapt to the value of one-dimensional unconstrained optimization problems)
myGA
- 用基本遗传算法求解一维无约束的优化问题。-The basic genetic algorithm with a one-dimensional unconstrained optimization problem
MMAdapGA
- 遗传算法：用多变异位自适应遗传优化求解一维无约束优化问题-Genetic algorithm: changing ectopic adaptive genetic optimization to solve the one-dimensional unconstrained optimization problem
AdapGA
- 自适应遗传算法求解一维无约束优化问题，matlab程序。-Adaptive genetic algorithm for one-dimensional unconstrained optimization problems, matlab program.
AdapGA
- AdapGA 用自适应遗传算法求解一维无约束优化问题 -AdapGA with adaptive genetic algorithm for one-dimensional unconstrained optimization problems
NormFitGA
- NormFitGA 用动态线性标定适应值的遗传算法求解一维无约束优化问题 -NormFitGA dynamic linear calibration to adapt to the value of the genetic algorithm for solving one-dimensional unconstrained optimization problems
SBOGA
- SBOGA 用顺序选择遗传算法求解一维无约束优化问题 -SBOGA order to select genetic algorithm for solving one-dimensional unconstrained optimization problems
GMGA
- GMGA 用大变异遗传算法求解一维无约束优化问题 -GMGA large variation genetic algorithm to solve the one-dimensional unconstrained optimization problem
DblGEGA
- DblGEGA 用双切点遗传优化求解一维无约束优化问题 -DblGEGA with double tangent point genetic optimization one-dimensional unconstrained optimization problems
myGA
- 基本遗传算法求解一维无约束优化问题，采用轮盘赌策略。-Basic genetic algorithm for solving one-dimensional unconstrained optimization problem, using the roulette strategy.
MMAdapGA
- MMAdapGA:用多变异位自适应遗传优化求解一维无约束优化问题-MMAdapGA: with changeable ectopic adaptive genetic optimization solution of one-dimensional unconstrained optimization problems
无约束一维极值问题
- 求一维无约束问题的最优解。包括很多传统的优化算法如牛顿法等。(Using Newton method to find the optimal solution of one dimensional unconstrained problems.)