▍1. 改进的蚁群算法
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.)
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.)
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: 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.)
标准萤火虫算法,程序运行稳定,可以自测!!!!!!!(Standard firefly algorithm, the program runs stably and can be self-tested! ! ! ! ! ! !)
说明: 标准萤火虫算法,程序运行稳定,可以自测!!!!!!!(Standard firefly algorithm, the program runs stably and can be self-tested! ! ! ! ! ! !)
蚁群算法的一个函数寻优案例 带约束条件 可运行出来(A function optimization case of ant colony algorithm with constraints can be run out)
说明: 蚁群算法的一个函数寻优案例 带约束条件 可运行出来(A function optimization case of ant colony algorithm with constraints can be run out)
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.)
利用GA遗传算法优化PID控制器中的参数,实现对对控制器的改善,以求稳准快(GA genetic algorithm is used to optimize the parameters in the PID controller, so that the controller can be improved so as to stabilize the system quickly.)
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)
竞争群算法(CSO)的matlab实现。(The Matlab Source code of the Competitive Swarm Optimizer (CSO))
对传统遗传算法进行了改进,简单易懂可运行(The traditional genetic algorithm is improved, which is simple, easy to understand and run)
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)