group algorithm

说明：  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.)

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,)

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.)

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.)

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：  构建基于改进灰狼优化算法的神经网络数据预测模型(IGWO-BPNN)，目的在于用改进的灰狼优化算法优化神经网络模型，利用神经网络的反向传播优势，改善神经网络算法易于陷入局部最小值的缺陷，提高神经网络模型的预测精度。(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)

说明：  本代码是基于蚁群算法的多配送中心的车辆调度问题的研究论文的源代码，包括数据集，找了很久网上信息不全，加上自己总结，最终调试成功，分享一下(This code is the source code of the research paper on the vehicle scheduling problem of multiple distribution centers based on ant colony algorithm, including data set. After a long time of searching for incomplete information on the Internet, plus my own summary, the final debugging is successful. Share it)

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.)

遗传算法最大化峰值旁瓣电平，给出阵元数，阵列长度，遗传及交叉因子，得出最优的PSB(The genetic algorithm maximizes the peak sidelobe level, giving the number of array elements, the length of the array, the genetic and crossover factors, and derives the optimal PSB)

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.)