灰狼优化算法源代码

说明：  蚁群算法的一个函数寻优案例 带约束条件 可运行出来(A function optimization case of ant colony algorithm with constraints can be run out)

说明：  通过群算法（BSO和CSO），实现寻优的功能。(Through group algorithm (BSO and CSO), the optimization function is realized.)

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)

标准萤火虫算法,程序运行稳定，可以自测！！！！！！！(Standard firefly algorithm, the program runs stably and can be self-tested! ! ! ! ! ! !)

灰狼算法和粒子群算法的结合，是两种种群算法的结合，值得一看(The combination of grey Wolf algorithm and particle swarm optimization is a combination of two population algorithms, which is worth a look)

说明：  蜻蜓算法，详细，可运行，对蜻蜓的运动进行描述(Dragonfly algorithm, detailed, operational)

说明：  基于多样本和遗忘能力的扩展粒子群算法，关于粒子群改进的代码，提供给大家学习。(An expanded particle swarm optimization based on multi-exemplar and forgetting ability)

竞争群算法（CSO）的matlab实现。(The Matlab Source code of the Competitive Swarm Optimizer (CSO))

说明：  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.)

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)