果蝇算法参考

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)

粒子群算法的寻优机制，另附十余个测试函数。主程序为test_basic(Particle Optimization Algorithm)

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

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：  贝叶斯算法优化了LSSVM的算例，算例中有贝叶斯算法优化，相对比较少见的优化。(Bayesian algorithm optimizes LSSVM examples)

用matlab实现levy概率分布，并作图，用于进化算法中调整步长(Using MATLAB to realize levy probability distribution and make a map for adjusting step size in evolutionary algorithm)

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：  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：  哈里斯鹰算法HHO的一个java版本 ， 作者来自 Dr. Oguz Emrah Turgut(Dr. Oguz Emrah Turgut comes from Department of Mechanical Engineering, Faculty of Engineering, Ege University, 35100 Bornova, Izmir, Turkey)

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.)