前段时间用JAVA改写的遗传算法，只需要改变编码位数，适应函数即可用于别的数值优化，极度适合JAVA的朋友-earlier with JAVA rewrite the genetic algorithm, only need to change the code, the median fitness function can be used for other numerical optimization, extremely suitable for Java friends! !

这是一个应用遗传算法解决的函数优化问题，通过一系列的交叉变异得到最优的函数解。- This is an application of genetic algorithms to solve the function optimization problem, through a series of cross-variance function of the optimal solution.

动态环境下的粒子群算法研究 动态优化问题是指目标函数随时间连续、缓慢或突然、随机变化的情况。该课题旨在将动态优化问题连续变化的时间变量区间进行任意划分，在得到的每个时间子区间上将动态问题转化为静态问题，针对此静态优化问题设计相应的遗传算法。同时给出一种能自动检测时间变化的应答算子。-Dynamic optimization problem refers to the objective function over time in a row, slow or sudden, random c