搜索资源列表
GA
- 遗传算法的实现，用了经典函数进行验证，有很好的结果。-Genetic algorithm implementation, using the classic function for authentication, there is a very good result.
robot_motion_planning
- This code proposes genetic algorithm (GA) to optimize the point-to-point trajectory planning for a 3-link robot arm. The objective function for the proposed GA is to minimizing traveling time and space, while not exceeding a maximum pre-define
GA---matlab
- 通过matlab来实现遗传算法，利用遗传算法程序和遗传算法工具箱来实现该功能，具体应用效果很好-Matlab achieved through the genetic algorithm, the procedure using the genetic algorithm and genetic algorithm toolbox to achieve the function of specific application of effective
IA
- 用小生境遗传算法实现求解rosenbrock函数的最优值-The program is aim to finding the rosenborck function extremity solution by using the niche GA algorithm.
GaPlaygroundCode
- Java实现的遗传算法工具集：GA Playground -The GA Playground is a general purpose genetic algorithm toolkit where the user can define and run his own optimization problems. The toolkit is implemented in the Java language, and requires (when used as an application
GA
- 用简单的遗传算法求解多极值函数全局最优解问题，对于不同函数通过修改目标函数即可得到-Solving multi-extremal function by simple genetic algorithm to get the optimal solution. By modifying the objective function different problems can be solved
PSO-toolbox
- PSO的matlab工具箱 群体智能算法：对求解连续函数的极值问题上比GA好用-PSO' s intelligent algorithm matlab toolbox groups: continuous function of solving the issue of the extreme ease of use than GA
GA-MATLIB-NO-BUILDFUN
- 没有利用到任何matlab遗传算法相关函数。做遗传算法教学用。【原创】-Not using any matlab genetic algorithm-correlation function. Genetic algorithms to do teaching. 【Original】
GA
- 用遗传算法求取函数的极值，及相应变量的值-Using genetic algorithms to strike a function extremum, and the corresponding value of the variable
GA
- 该算法为一改进的遗传算法，进行了调试，各参数可以设置，并能用于进行函数优化，效果不错，有说明文档。-The algorithm is an improved genetic algorithm was debugged, the parameters can be set, and can be used for function optimization, good results, there is documentation.
GA
- 此算法是用遗传算法解决一元函数的最值问题-This algorithm is a function of genetic algorithm to solve the most value of a dollar problem
GA
- 简单的遗传算法，对函数优化具有很高的优越性。-A simple genetic algorithm, function optimization with a high superiority.
GA
- 基于VC++编程，实现遗传算法的代码，并实现了遗传算法对函数极值的搜索，并调用MATLAB绘图-Based on VC++ programming, genetic algorithm code, and implements a genetic algorithm to function extremum search and call MATLAB Graphics
GAreal_tourney
- ntroduction to Stochastic Search and Optimization, 2003 This program runs a GA with real-number coding. Elitism is used and the mutation operator is simply the addition of a Gaussian random vector to the non-elite elements. The user
GA
- 已知函数y=x*sin(10*Pi*x)+2.0。利用人工智能中的遗传算法（GA），计算y在区间（0，2）上的极大值。对于想学习GA的网友们来说，是个很好的Demo。而且对于基因类，已经按照面向对象的思想进行了封装，稍微修改参数就可以用在实际项目中。-Known function y = x* sin (10* Pi* x)+2.0. The use of artificial intelligence in the genetic algorithm (GA), calculating y i
pso
- This an implementation of Particle Swarm Optimization algorithm using the same syntax as the Genetic Algorithm Toolbox, with some additional options specific to PSO. Allows code-reusability when trying different population-based optimization al
GA
- 用遗传算法求解函数最优值，收敛速度快且不易陷入局部最优值。遗传算法是经典算法，此程序适合初学者。-A Genetic Algorithm for the optimal value function, convergence is fast and easy to fall into local optimal value. Genetic algorithm is a classical algorithm, this program suitable for beginners.
Moussa_Malab_codes
- the first code:Approximate Genetic Algorithm second code:Genetic Algorithm (GA) third code:Response Surface Methodology for Design of a PD Controller for Tanker Ship Heading Regulation forth code:optimization problem for genetic algorithms fi
Genetic_Algorithm
- How to use the program for your own purposes: The main thing that needs to be changed in ga.m is the fitness function and a few parameters. It is now set to minimize a function z=f(x,y) that is a sum of scaled translated Gaussian distr
GA-1
- 遗传算法求解函数极值问题。完整实现了遗传算法的选择/交叉/变异等功能，可设定交叉和变异概率。C++语言，输出为文件形式-Genetic Algorithm for function extremum problem. Full realization of the genetic algorithm selection/crossover/mutation and other functions, can be set crossover and mutation probability. C+