搜索资源列表
优化设计
- 常规优化算法程序库,处理各种有约束和无约束优化问题-conventional optimization algorithm library, to deal with binding and non-constrained optimization problem
BPNN
- 由于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。
MATLAB-ge-zhong-you-hua
- 无约束一维、多维极值,约束优化问题,粒子群优化算法,遗传优化算法-Unconstrained one-dimensional, multi-dimensional extremal constrained optimization problem, particle swarm optimization, genetic optimization algorithm
minFBNQ
- 无约束一维极值问题的优化算法,能很快的求取最小值。-Extremal non-binding one-dimensional optimization problem that can quickly strike a minimum.
mastering_matlab
- 精通MATLAB最优化计算 配套光盘 本书的主要内容是应用MATLAB来解决最优化问题,通过将“最优化问题”、“MATLAB优化工具箱”和“MATLAB编程”这三方面有机结合进行讲述,即一方面是使用工具箱来快速解决最优化问题,另一方面是通过算法编程深入解决最优化问题。主要包括MATLAB优化工具箱、无约束多维极值问题、约束优化问题、非线性最小二乘优化问题、线性规划、整数规划、二次规划、粒子群优化算法、遗传算法。 -The main contents of the book is the
unconstrained-optimization
- 此文档为无约束优化算法代码及课件,包含10几个代码,2个ppt说明文档,适合工程方面工作者参考-This document is an unconstrained optimization algorithm code and courseware, contain 10 several code, 2 ppt documentation, suitable for engineering workers Reference
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
optimization-program
- 无约束一维极值/无约束多维极值/约束优化/非线性最小二乘优化/线性规划/整数规划/二次规划/遗传优化算法等对应的matlab程序-Unconstrained one-dimensional extremal/unconstrained multidimensional the pole/constrained optimization/nonlinear least squares optimization/linear programming/integer programming/Quadr
LMS
- 基于matlab软件的一个无约束优化问题的最速下降算法-Based on matlab software an unconstrained optimization problems steepest descent algorithm
ga
- 简单的遗传算法解决优化问题的汇编代码,包括单变量无约束优化、单变量有约束优化及多变量优化问题,并配以实例进行说明-Genetic Algorithms
myGA
- 这个源代码是关于基本遗传算法求解一维无约束优化问题的代码-This source code is on a one-dimensional basic genetic algorithm code for unconstrained optimization problems
Optimization-correlation
- 1.约束优化问题: minRosen(Rosen梯度法求解约束多维函数的极值)(算法还有bug) minPF(外点罚函数法解线性等式约束) minGeneralPF(外点罚函数法解一般等式约束) minNF(内点罚函数法) minMixFun(混合罚函数法) minJSMixFun(混合罚函数加速法) minFactor(乘子法) minconPS(坐标轮换法)(算法还有bug) minconSimpSearch2(复合形法) -Optimization
AsyLnCPSO
- 用学习因子异步变化的粒子群优化算法求解无约束优化问题-Using asynchronous learning factor variation of particle swarm optimization algorithm for solving unconstrained optimization problems, are helpful to you!
BreedPSO
- 用基于交叉遗传的粒子群优化算法求解无约束优化问题-Based on cross genetic particle swarm optimization algorithm for solving unconstrained optimization problems, are helpful to you!
CLSPSO
- 用混沌粒子群优化算法求解无约束优化问题,希望对大家有帮助!-Chaotic particle swarm optimization algorithm for solving unconstrained optimization problems, I hope it can help you!
LinWPSO
- 用线性递减权重粒子群优化算法求解无约束优化问题,希望对大家有帮助!-With a linear gradient weight of particle swarm optimization algorithm for solving unconstrained optimization problems, I hope it can help you!
YSPSO
- 一种带压缩因子的pso算法,能够处理无约束优化问题。-With one kind of compression algorithm pso factor, able to handle unconstrained optimization problems
rar
- powell算法设计 鲍威尔法又称方向加速法,它由Powell于1964年提出,是利用共轭方向可以加快收敛速度的性质形成的一种搜索方法。该方法不需要对目标函数进行求导,当目标函数的导数不连续的时候也能应用,因此,鲍威尔算法是一种十分有效的直接搜索法。 Powell法可用于求解一般无约束优化问题,对于维数n<20的目标函数求优化问题,此法可获得较满意的结果。 不同于其他的直接法,Powell法有一套完整的理论体系,故其计算效率高于其他直接法。该方法使用一维搜索,而不是跳跃的探测步。同时