基于子区域的粒子群优化算法研究_曾嘉俊

说明：  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)

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)

说明：  一个实现多目标进化计算的数据集，用来测试不同的真实pareto前沿(A data set for multi-objective evolutionary computation to test different real Pareto Frontiers)

说明：  多目标遗传算法的完整代码，测试函数使用ZDT和DTLZ函数(Complete code of multi-objective genetic algorithm, test function uses ZDT and dtlz function)

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! ! ! ! ! ! !)

说明：  差分进化原始算法，有多个案例用于理解和运用(The original differential evolution algorithm has many cases for understanding and application)

说明：  基于多样本和遗忘能力的扩展粒子群算法，关于粒子群改进的代码，提供给大家学习。(An expanded particle swarm optimization based on multi-exemplar and forgetting ability)

说明：  CEC2017前2名的MATLAB算法实现 有EBOwithCMAR和jSO 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 top2 of cec217. There are ebowithcmar; JSO Various parameters can be adjusted, including population number, F factor, mutation rate, crossover rate, etc.)

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.)

说明：  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)