基本遗传算法(GA)的matlab源程序!许多改进的遗传算法均可在此基础上修改而成.

并行遗传算法的分析，与最基本的有多不同，改进版-Parallel Genetic Algorithm analysis, with the most basic how different and improved version of

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

利用改进的遗传算法求解非线性方程，遗传算法得到全局最优解作为初值寻找局部最优解(Using the improved genetic algorithm to solve the nonlinear equation, the genetic algorithm gets the global optimal solution as the initial value to find the local optimal solution)