搜索资源列表
GA-VC
- 遗传算法优化源码，可以做约束优化问题或者是无约束优化问题的求解
jiaocha-PSO
- ％--- --- ----- ％--- 名称：带交叉因子的改进PSO算法 ％------功能：求解多维无约束优化问题 ％------特点：收敛性强，还可以加入变异算子
improvedPSO.rar
- ------名称：带交叉因子的改进PSO算法 ------功能：求解多维无约束优化问题 ------特点：收敛性强，还可以加入变异算子,------ Name: with cross-factor function to improve the PSO algorithm ------: Solving multi-dimensional unconstrained optimization problem ------ characteristics: strong converge
c
- 罚函数方法是求解约束（极小）优化问题的一类较好的算法。其基本思想：根据约束的特点构造某种惩罚函数，并把惩罚函数添加到目标函数上去，从而得到一个增广目标函数，使约束优化问题的求解转化为一系列无约束极小优化问题的求解。-Penalty function method for solving constrained (minimum) optimization problem of a class of better algorithms. The basic idea: In accordance
BFGS-youhua
- 用于解决优化问题中的无约束优化,经过检测，能够成功运行。-To solve the problem of unconstrained optimization.
Matlab_BP
- 于BP网络的权值优化是一个无约束优化问题，而且权值要采用实数编码，所以直接利用Matlab遗传算法工具箱。以下贴出的代码是为一个19输入变量，1个输出变量情况下的非线性回归而设计的，如果要应用于其它情况，只需改动编解码函数即可。-BP network weights optimization is a constrained optimization problem, and the right value to real-coded, so the direct use of the Matl
BBBreedPSOa
- 基于杂交的粒子群算法求解无约束优化问题，主要是各各粒子的位置和速度 ，经测试可直接使用。 -Based on hybrid particle swarm algorithm for solving unconstrained optimization problems, mainly Calvary position and velocity of the particles, has been tested and can be used directly.
BSSimuAPSOa
- 有基于模拟退火的粒子群算法优化化求解无约束优化问题可直接使用。 -Based on simulated annealing particle swarm algorithm optimization for unconstrained optimization problems can be used directly.
psowugong
- 运用粒子群算法解决电力系统无功优化问题,粒子群算法是一种可以解决有约束单目标最优化问题-Use the PSO to solve the reactive power optimization
ABC
- 原始人工蜂群算法求解无约束优化问题,改进了原始算法获得了更好的优化性能-original artificial bee colony algorithm for solving unconstrained optimization problems，we modified this algorithm and obtain a better performance
PSO
- MATLAB高级优化算法之基本粒子群算法(PSO 求解无约束优化问题) -MATLAB advanced optimization algorithm of PSO (PSO solving unconstrained optimization problems)
frcg
- FR共轭梯度法求解无约束优化问题，其中一维搜索用Armijo搜索。-Fletcher-Reeves method for optimization
trust-region-method
- 功能：牛顿型信赖域方法求解无约束优化问题min f(x) 输入 x0是初始迭代点 输出：xk是近似极小点，val是近似极小值，k是迭代次数- function: Newton type trust region method for solving unconstrained optimization problem min f (x) input The xo is the initial iteration point output: xk is appro
line_search_gold
- 0.618法求解无约束优化问题的一维精确线搜索，matlab-0.618 method for solving constrained optimization problems of one-dimensional exact line search, matlab
leidianci
- 本文以无约束优化问题为研究对象，研究了一种较新的元启发式算法，即类电磁机制算法（Electromagnetism-like Mechanism，EM），利用改进算法求解实际工程中的优化问题。-In this paper, a new heuristic algorithm, Electromagnetism-like Mechanism (EM), is studied by using the improved algorithm to solve the optimization probl
gongetidu
- 用于解决非线性无约束优化问题(It is used to solve nonlinear unconstrained optimization problem)
优化算法
- 解决了最小无约束优化问题 步长由ARmijo非精确一维搜索生成，迭代方向分别由最速下降法，阻尼牛顿法，共轭梯度法，拟牛顿法(BFGS)产生(This code solves the minimum unconstrained optimization problem, and the step size is generated by ARmijo inexact one-dimensional search. The iterative directions are generated b
无约束优化问题
- 包括几种常用的无约束优化算法，比如最速下降法、BFGS算法、共轭梯度法等等(Including unconstrained optimization algorithms in common use)
DHS
- 改进的HS共轭梯度法，能够更快的求解无约束优化问题(A modified Hestenes-Stiefel conjugate gradient method with sufficient descent condition and conjugacy condition)
ni_niu_dun_fa
- 基于拟牛顿法解决无约束优化问题的Python代码(Python code for unconstrained optimization based on quasi-Newton method)