GA

爬山改进遗传算法，提供更快的收敛速度，并用于优化极限学习机权值(Mountain climbing improved genetic algorithm to provide faster convergence speed and to optimize the weight of extreme learning machine)

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.)

遗传算法最大化峰值旁瓣电平，给出阵元数，阵列长度，遗传及交叉因子，得出最优的PSB(The genetic algorithm maximizes the peak sidelobe level, giving the number of array elements, the length of the array, the genetic and crossover factors, and derives the optimal PSB)

说明：  通过群算法（BSO和CSO），实现寻优的功能。(Through group algorithm (BSO and CSO), the optimization function is realized.)

天牛须BAS在3D路径规划中的应用，天牛须BAS是新型算法，求解速度快，算法代码简单。(The application of Longhorn whisker BAS in 3D path planning, Longhorn whisker BAS is a new algorithm with fast solving speed and simple algorithm code.)

新型的智能优化算法，水波优化算法，在基准函数CEC2014上比PSO，BBO，HS等表现要好。(A New Intelligent Optimum Algorithms, Water Wave Optimum Algorithms)

包含人群搜索算法源程序，和rastrigin、Schaffer和Spher三个函数的优化，并与PSO比较(Including the source program of crowd search algorithm, and the optimization of rastrigin, Schaffer and Sphere functions, and comparing with PSO)

含有约束方程 求最值所用的罚函数+粒子群优化算法(Penalty function + particle swarm optimization algorithm for using the constraint equation to find the maximum value)

竞争群算法（CSO）的matlab实现。(The Matlab Source code of the Competitive Swarm Optimizer (CSO))

基于遗传算法的LQR控制器优化设计，二自由度振动系统(Optimal design of LQR controller based on genetic algorithm and two degree of freedom vibration system)