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PSOtoolbox.rar
- 微粒群算法[PSO ] 是由Kennedy 和Eberhart等于1995 年开发的一种演化计算技术, 来源于对鸟群捕食过程的模拟。PSO同遗传算法类似，是一种基于叠代的优化工具，但与遗传算法使用遗传操作子进行优化不同，利用群体中各个体之间的“协作”与“竞争”关系，根据自身及其竞争者的飞行经验，调整自己的行为。同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域。,Particle Swarm Opt
genetic-algorithm
- 计算机学报，通过对多维解析函数的重复计算并对计算结果进行统计分析来讨论 遗传算法的可靠性和可信度。本文含金量高。-Computer Science, through the multi-dimensional analytic functions of double counting and statistical analysis of the results to discuss the reliability and credibility of the genetic algorithm
GA
- 遗传算法的matlab程序，有详细的子函数，自适应求解多维矩阵参数，浮点型实数求解，程序明了易懂！-Genetic algorithm matlab program, detailed subfunctions adaptive solving multidimensional matrix parameters, floating point real numbers to solve the program is clear and easy to understand!
matlab-ga
- 基本遗传算法的MATLAB语言源程序。（遗传算法的应用范围极其广泛，它可应用于函数优化、组合优化、生产调度问题、自动控制、机器人学、图像处理、人工生命、遗传编程以及机器学习等领域。）-Basic genetic algorithm matlb language sourc-e code. (Genetic algorithm extremely broad range of applications, it can be applied to function optimization, com
DeJong
- 遗传算法程序测试De Jong函数；选择方法：最优保存、轮盘赌选择、改进最佳保留；动态或静态变异；量子遗传算法测试PFH函数；运用到量子遗传算法的交叉、变异等操作。-De Jong genetic algorithm program test function selection methods: elitist, roulette selection, the best retention improvement dynamic or static variation quantum g
GA_SF2
- 求解二维多峰函数极值的matlab遗传算法程序，简单实用-Solving two-dimensional multimodal function extremum matlab genetic algorithm is simple and practical
Untitled2
- 利用遗传算法的选择、交叉、变异功能来解决一元函数求最优值问题-The use of genetic algorithm selection, crossover and mutation function to solve a problem of the optimal value function uation dollar
duoyuanhanshuyouhua
- 利用遗传算法的选择、交叉、变异功能来解决多元函数求最优值问题-The use of genetic algorithm selection, crossover and mutation function to solve the problem of the optimal value of variable function
duoyuandanfenghanshuyouhua
- 利用遗传算法的选择、交叉、变异功能来解决多元单峰函数求最优值问题-The use of genetic algorithm selection, crossover and mutation function to solve the multi-function uation unimodal optimal value problem
Untitled3
- 利用遗传算法的选择、交叉、变异功能来求解De Jong函数优化问题-The use of genetic algorithm selection, crossover and mutation function to solve the function optimization problem De Jong
gamain
- 使用实数编码的遗传算法，进行多个函数的极值优化，可以运行-Using real-coded genetic algorithm, a plurality of extremal optimization function, you can run ,,
nonliner
- 应用遗传算法求解带有约束条件的非线性函数优化问题- U5E94 u7528 u9057 u4F20 u7B97 u7L9 u6129 u7L2 u9E3
项目改进遗传算法二进制罚函数双库三断面
- 用于处理并联水库防洪调度问题，防洪目标断面可以是若干个(The program is used to deal with the flood control of Parallel Reservoir and the cross section of flood control target can be several)