搜索资源列表
Rosenbrock
- matlab平台下的测试函数Rosenbrock,对于用来测试粒子群、遗传等智能算法的性能非常有用-matlab platform test function Rosenbrock, used to test for the PSO, the performance of genetic algorithms and other useful intelligence
rosenbrock(matlab)
- Rosenbrock函数图像绘制源代码程序。为毕业设计而制作。——张景-Rosenbrock function image mapping program source code. Designed and produced for graduation.- Zhang
PSO-CODE
- 以Rosenbrock矩阵做为测试函数的微粒群算法的一些源码-Rosenbrock matrix in order to function as a test of the Particle Swarm Optimization of a number of source
Rosenbrock
- 利用差分进化算法(Differential Evolution)实现对经典函数rosenblock的验证-The use of differential evolution algorithm (Differential Evolution) to achieve the verification of classical function rosenblock
1016938006
- matlab遗传算法,rosenbrock-matlab genetic algorithm, rosenbrock
jiyuMATLABkongzhixitongshejiyuyanjiu
- 基于matlab的控制系统的设计与仿真,很好的讲述了控制系统的仿真知识-This program is made using genetic algorithms, using real-coded genetic algorithm for maximum demand Rosenbrock function
SOA
- 种子优化算法(SOA)matlab源程序,测试Rosenbrock等三个函数,结果很好,可以借鉴学习-Seed optimization algorithm (SOA) matlab source code, testing three functions, the results very good, can learn to learn
rosenbrock
- rosenbrock是数值最优化里的一个重要算例,运用MATLAB编程测试算例-rosenbrock numerical optimization is an important example in using the MATLAB programming test examples
shishubianmaGA
- 利用遗传算法求Rosenbrock函数的极大值,采用实数编码。-Rosenbrock GA
pso_finnal
- 利用粒子群算法优化函数,对Rosenbrock最大值进行优化-Functions using particle swarm optimization, optimization of Rosenbrock maximum
Rosenbrock
- The Rosenbrock function is a non-convex function used as a performance test problem for optimization algorithms introduced by Rosenbrock (1960). It is also known as Rosenbrock s valley or Rosenbrock s banana function. The global minimum is insid
matlab-code
- 几个多目标求极值的Matlab算法,包括模式搜索法、Rosenbrock法、单纯形法、Powell法、最速下降法、共轭梯度法、牛顿法、信赖域法-Matlab algorithm, several multi-objective extremum including pattern search method, Rosenbrock method, simplex method, Powell method, the steepest descent method, conjugate gradi
Matlab-Programs-of-PSO
- In this project, the standard particles swarm optimization - named here (MyPSO) is simulated and tested by five well-known benchmark functions (Sphere, Ackley, Rastrigin, Rosenbrock and Schwefel p2.26). Then, a new mechanism- named here (Improved MyP
Genetic-algorithm(matlab)
- 基于matlab上的rosenbrock函数用遗传算法求解最优解的三个典型程序。-Based matlab on rosenbrock function using genetic algorithms to solve the optimal solution of the three typical program.
rosenbrock
- 最优化中的检验算法,适合初学者,本程序由matlab编写-Optimization of the test algorithm, suitable for beginners
Marquardt-Method-rosenbrock
- 用Marquardt method 求解 rosenbrock函数最值的matlab代码-Use Marquardt method to solve the rosenbrock function (matlab code)
GA-RosenBrock
- 遗传算法Matlab语言实现,旅行商问题,n个点的排列问题,解空间数量n -Genetic algorithms in search optimization and machine learning
牛顿法
- 用牛顿法求rosenbrock函数的最小值(Using Newton method to find the minimum value of Rosenbrock function)
rastrigin_rosenbrock_spher_weierstrass
- rastrigin_rosenbrock_sphere_weierstrass函数matlab的2D图(The 2D diagram of the rastrigin_rosenbrock_sphere_weierstrass function matlab)
rosenbrock
- 最速下降法求梯度,可运行多维变量,很有参考价值(rosenbrock,minisize,matlab)