minmin算法

说明：  解决车间资源分配的动态调度问题，采用遗传算法(Solving the dynamic scheduling problem of workshop resource allocation, using genetic algorithm)

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)

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.)

minmin算法，适用于任务调度，可以与GA以及PSO等进行比较，是最基础的算法。(Minmin algorithm is suitable for task scheduling.)

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.)

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：  使用matlab 实现遗传算法，算法采用二进制交叉变异，对于初学者很好理解(Use matlab to implement genetic algorithm, the algorithm uses binary crossover mutation, which is well understood for beginners)

CMA-ES source code in Matlab

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：  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)