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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
003-matlab-
- MATLAB智能算法30个案例分析源码，一元函数寻优，NIND=40 个体数目 MAXGEN=20 最大遗传代数 PRECI=20 变量的二进制位数 GGAP=0.95 代沟 px=0.7 交叉概率 pm=0.01 变异概率-Intelligent algorithm MATLAB source 30 case studies, one dollar function optimization, NIND = 40 the number of individuals MA
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
gene_test
- y=f(x,y,z...)基于遗传算法的单一目标函数寻求最优或者最小极值点-Single objective function optimization based on GA
gaSVMcgForClass
- svm 的参数优化，利用ga(遗传优化算法)选择最优参数c g，最终提高训练集的分类准确率，更好的提高分类器性能,这是ga的功能函数源码-Svm parameter optimization, the use of ga (genetic optimization algorithm) to the optimal parameter c g, and ultimately improve the training set classification accuracy, better imp
vrp_ga-master
- 最优路径遗传算法，用于搜寻最优路径，可根据需要修改目标函数，最小成本、最短时间等(Genetic alogrithm for optimal-path searching ,available for finding out the best path,constrained by minimum-cost,minimum-time.etc.)