ABC

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)

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：  CEC2017前几名的MATLAB算法实现 有EBOwithCMAR; jSO; LSHADE_SPACMA; LSHADE-cnEpSin 各种参数都可以调整，包括种群数量、F因子、变异率、交叉率等(The realization of MATLAB algorithm for the top few of cec217. There are ebowithcmar; JSO; lshade_spacma; lshade cnepsin. Various parameters can be adjusted, including population number, F factor, mutation rate, crossover rate, etc.)

说明：  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)

多个萤火虫算法基础算例，为萤火虫算法通用算例(benchmark problem for firefly algorithm)

JMetal是一个集成的可以更方便地比较各种算法的平台,包括的算法是流行的,常用的多目标进化算法,包括NSGA2,SPEA2,NSGA3等。

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.)

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)

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)

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