求解多目标问题，业内最经典的多目标算法之一 NSGA-II

标准的PSO算法以及几个典型测试函数的matlab源程序，资料可供大家参考(Standard PSO algorithm and several typical test functions of Matlab source code, information for your reference.)

说明：  采用蚁群算法对BP神经网络进行优化，并结合实例进行应用验证。(The ant colony algorithm is used to optimize the BP neural network, and an example is used to validate it.)

说明：  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)

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：  多目标优化算法NSGAⅡ的matlab仿真结果实现。(The multi-objective optimization algorithm NSGA II is realized by MATLAB simulation.)

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.)

说明：  附赠一个cec2005的matlab数据代码，这里推荐大家一个靠谱的论文检测平台。重复的部分有详细出处以及具体修改意见，能直接在文章上做修改，全部改完一键下载就搞定了。他们现在正在做毕业季活动， 赠送很多免费字数，可以说是十分划算了！地址直接百度paperpass(Comes with a cec2005 matlab data code. I recommend you a reliable paper detection platform. The repetitive part has a detailed source and specific revision opinions. You can directly make changes in the article, and you can get it all after one-click download. They are now doing graduation season activities, giving away a lot of free word count, which can be said to be very cost-effective! The address is:paperpass)

说明：  在信息素更新上面对于蚁群算法所做出的改进，(In pheromone update, the improvement of ant colony algorithm is made,)

这是MATLAB中最新的优化工具箱，它利用最近提出的7种算法来优化您的问题。 此工具箱中提供的算法包括： 灰狼优化器（GWO），蚂蚁狮子优化器（ALO），多功能优化器（MVO），蜻蜓算法（DA），蛾火焰算法（MFO），正弦余弦算法（SCA）和鲸鱼优化算法（WOA） 。(This is the latest optimization toolbox in MATLAB, which optimizes your problem using seven algorithms recently proposed. The algorithms provided in this toolbox include: GWO, ALO, MVO, DA, MFO, SCA and WOA.)

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)