基于子区域的粒子群优化算法研究_曾嘉俊

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：  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.)

说明：  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)

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)

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)

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)

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.)

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.)

原始的最优化算法，用来求解最小值最大值，适合新手入门学习(fruit fly optimization)

说明：  利用遗传算法求解柔性车间调度问题，采用Python编程实现(Using Genetic Algorithm to Solve Flexible Workshop Scheduling Problem)