GA

用matlab实现levy概率分布，并作图，用于进化算法中调整步长(Using MATLAB to realize levy probability distribution and make a map for adjusting step size in evolutionary algorithm)

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：  基于CEC——2017benchmark测试集，计算最优 修正的果蝇算法，弥补原始果蝇算法在负数集上的缺失(modify fruit fly optimization)

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)

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)

说明：  多目标优化算法NSGAⅡ的matlab仿真结果实现。(The multi-objective optimization algorithm NSGA II is realized by MATLAB simulation.)

说明：  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.)

多个萤火虫算法基础算例，为萤火虫算法通用算例(benchmark problem for firefly algorithm)

说明：  日前调度，很好用的。已经证明打开了。可以运行(Day ahead scheduling)

根据Degree Centrality、Co-Expression Weighted by clustering Coefficient、Betweenness Centrality、PeC等六种参数的计算来寻找关键蛋白质(Find the key proteins according to the calculation of Degree Centrality, Co-Expression Weighted by clustering Coefficient, Betweenness Centrality, PeC and other six parameters.)