果蝇算法参考

用matlab实现灰狼优化算法，用于最优化计算(Gray Wolf Optimization Algorithms with MATLAB for Optimal Computing)

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)

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.)

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.)

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)

改进的灰狼算法用于重油热解模型的建模程序(greywolf algorithm for observation of heavy oil thermal cracking)

基于变异策略的改进型花朵授粉算法，里边集成了粒子群算法、蝙蝠算法以及定向变异策略，进行对比(An improved flower pollination algorithm based on mutation strategy, which integrates particle swarm optimization, bat algorithm and directional mutation strategy, is compared.)

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)

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)

说明：  单目标带约束的随机漫步灰狼算法带初始化源代码(Single target grey wolf algorithm with constraint random walk source code)