WWO

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：  蚁群算法求解TSP问题程序,代码简单明了，易于理解。(Ant colony algorithm for TSP)

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：  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)

采用改进的遗传算法，对柔性车间调度问题进行求解(Solving flexible shop scheduling problem with improved genetic algorithm)

说明：  蚁群算法的改进，提出四个种类的蚂蚁选择城市的四种不同方式，(The improvement of ant colony algorithm proposes four different ways for four kinds of ants to select cities,)

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：  单目标带约束的随机漫步灰狼算法带初始化源代码(Single target grey wolf algorithm with constraint random walk source code)

含有约束方程 求最值所用的罚函数+粒子群优化算法(Penalty function + particle swarm optimization algorithm for using the constraint equation to find the maximum value)

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)