GA优化PID参数

这是MATLAB中最新的优化工具箱，它利用最近提出的7种算法来优化您的问题。 此工具箱中提供的算法包括： 灰狼优化器（GWO），蚂蚁狮子优化器（ALO），多功能优化器（MVO），蜻蜓算法（DA），蛾火焰算法（MFO），正弦余弦算法（SCA）和鲸鱼优化算法（WOA） 。(This is the latest optimization toolbox in MATLAB, which optimizes your problem using seven algorithms recently proposed. The algorithms provided in this toolbox include: GWO, ALO, MVO, DA, MFO, SCA and WOA.)

说明：  在蚁群算法的基础上进行改进，使优化效果更加明显(On the basis of ant colony algorithm, the optimization effect is more obvious.)

CMA-ES source code in Matlab

天牛须算法的简单编写，需要自己替换适应度函数(The algorithm is simple and needs to replace its fitness function.)

说明：  灰狼算法,一种新型群体智能优化算法，将改进的灰狼算法优化神经网络模型，提高收敛速度，避免陷入局部最优解(The grey wolf algorithm (GWO), which is inspired by the predatory behavior of the gray wolf group, is a new group intelligent optimization algorithm that imitates the leadership of gray wolf population and hunting mechanism in nature)

说明：  多目标优化算法NSGAⅡ的matlab仿真结果实现。(The multi-objective optimization algorithm NSGA II is realized by MATLAB simulation.)

利用遗传算法求解柔性车间调度问题，采用Python编程实现(Using Genetic Algorithm to Solve Flexible Workshop Scheduling Problem)

灰狼算法和粒子群算法的结合，是两种种群算法的结合，值得一看(The combination of grey Wolf algorithm and particle swarm optimization is a combination of two population algorithms, which is worth a look)

说明：  经典遗传算法案例，利用遗传算法求解铁罐问题(genetic algorithm optimization)

说明：  利用遗传算法求解柔性车间调度问题，采用Python编程实现(Using Genetic Algorithm to Solve Flexible Workshop Scheduling Problem)