GA

东北大学汪定伟编写的智能优化方法教材，对目前主要的智能优化方法遗传算法、禁忌搜索、蚁群算法和粒子群算法进行了介绍，内容详尽经典，是一本学习智能优化方法的好教材。(a good book about intelligent Optimization)

matlab实现蚁狮优化(ALO)算法，用于最优化计算(Matlab implements ant lion optimization (ALO) algorithm for optimization calculation)

说明：  蚁狮优化算法是一种群智能优化算法，调节参数少，易于实现。(Ant lion algorithm is a new meta heuristic swarm intelligence algorithm proposed by mirjalili in 2015)

说明：  利用遗传算法求解柔性车间调度问题，采用Python编程实现(Using Genetic Algorithm to Solve Flexible Workshop Scheduling Problem)

说明：  多目标遗传算法的完整代码，测试函数使用ZDT和DTLZ函数(Complete code of multi-objective genetic algorithm, test function uses ZDT and dtlz function)

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)

引力搜索算法优化函数，可以运行，适合学习这个算法用(The gravitational search algorithm optimizes functions that can be run.)

说明：  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)

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：  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,)