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灰狼优化算法源代码

于 2020-03-07 发布
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下载积分: 1 下载次数: 46

代码说明:

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)

文件列表:

灰狼优化算法源代码\huilang.m, 6429 , 2020-02-03
灰狼优化算法源代码, 0 , 2020-02-03

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  • yiqunsuanfa
    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)
    2019-01-13 11:38:18下载
    积分:1
  • group algorithm
    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.)
    2019-05-12 13:13:14下载
    积分:1
  • 混沌tent映射tent分叉程序
    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)
    2020-11-06 21:39:49下载
    积分:1
  • FA_yangxinshe
    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! ! ! ! ! ! !)
    2019-01-27 16:46:15下载
    积分:1
  • Hybrid-GWOPSO-optimization
    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)
    2021-04-23 02:18:48下载
    积分:1
  • DA
    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)
    2020-04-25 09:48:45下载
    积分:1
  • XPSO
    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)
    2021-01-31 18:58:36下载
    积分:1
  • CSO_Matlab-master
    竞争群算法(CSO)的matlab实现。(The Matlab Source code of the Competitive Swarm Optimizer (CSO))
    2018-05-06 20:23:52下载
    积分:1
  • compute_DC_BC_NC_CoEWC_PEC_WDC_methods_results
    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.)
    2020-06-23 17:40:02下载
    积分:1
  • 基于人群搜索的函数优
    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)
    2019-06-27 01:37:39下载
    积分:1
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