WWO

说明：  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)

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)

用蚁群算法来解决TSP问题的matlab代码，用的蚁周模型，参数为实验选择的最优参数(Ant arithmetic and TSP problem)

基于遗传算法的LQR控制器优化设计，二自由度振动系统(Optimal design of LQR controller based on genetic algorithm and two degree of freedom vibration system)

说明：  包含人群搜索算法源程序，和rastrigin、Schaffer和Spher三个函数的优化，并与PSO比较(Including the source program of crowd search algorithm, and the optimization of rastrigin, Schaffer and Sphere functions, and comparing with PSO)

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：  灰狼算法,一种新型群体智能优化算法，将改进的灰狼算法优化神经网络模型，提高收敛速度，避免陷入局部最优解(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：  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,)

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)

利用遗传算法实现机器人最优路径规划，优化算法步骤实现迭代次数最第，包括文档说明和算法说明(The genetic algorithm is used to realize the optimal path planning of robots, and the optimal algorithm steps are used to achieve the highest number of iterations, including document description and algorithm description.)