登录
首页 » matlab » 萤火虫算法算例

萤火虫算法算例

于 2020-10-18 发布 文件大小:4314KB
0 243
下载积分: 1 下载次数: 27

代码说明:

  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)

文件列表:

萤火虫算法算例\19.pdf, 243214 , 2017-05-27
萤火虫算法算例\25.pdf, 294341 , 2017-05-27
萤火虫算法算例\27.pdf, 681757 , 2017-05-27
萤火虫算法算例\33.pdf, 868374 , 2017-05-27
萤火虫算法算例\34.pdf, 797412 , 2017-05-27
萤火虫算法算例\41.pdf, 343059 , 2017-05-27
萤火虫算法算例\50.pdf, 456844 , 2017-05-27
萤火虫算法算例\51.pdf, 1019530 , 2017-05-27
萤火虫算法算例\example\example1\baogan.txt, 52966 , 2017-03-11
萤火虫算法算例\example\example1\constraint.m, 1268 , 2017-05-27
萤火虫算法算例\example\example1\fa_mincon.m, 7980 , 2014-02-12
萤火虫算法算例\example\example1\ffa_mincon.m, 4823 , 2017-03-11
萤火虫算法算例\example\example1\fitness.m, 696 , 2017-05-27
萤火虫算法算例\example\example1\inputans.txt, 85 , 2017-05-10
萤火虫算法算例\example\example1\mainfa.m, 652 , 2017-05-27
萤火虫算法算例\example\example1\STRESS.TXT, 86 , 2017-03-13
萤火虫算法算例\example\example2\constraint.m, 538 , 2017-05-27
萤火虫算法算例\example\example2\fa_mincon.m, 7980 , 2014-02-12
萤火虫算法算例\example\example2\ffa_mincon.m, 4823 , 2017-03-11
萤火虫算法算例\example\example2\fitness.m, 693 , 2017-05-27
萤火虫算法算例\example\example2\inputans.txt, 85 , 2017-05-10
萤火虫算法算例\example\example2\mainfa.m, 650 , 2017-05-29
萤火虫算法算例\example\example5\constraint.m, 1238 , 2017-05-28
萤火虫算法算例\example\example5\fa_mincon.m, 7980 , 2014-02-12
萤火虫算法算例\example\example5\ffa_mincon.m, 4823 , 2017-03-11
萤火虫算法算例\example\example5\fitness.m, 755 , 2017-05-23
萤火虫算法算例\example\example5\inputans.txt, 85 , 2017-05-10
萤火虫算法算例\example\example5\mainfa.m, 694 , 2017-05-27
萤火虫算法算例\example\example5简化\constraint.m, 1238 , 2017-05-28
萤火虫算法算例\example\example5简化\fa_mincon.m, 7980 , 2014-02-12
萤火虫算法算例\example\example5简化\ffa_mincon.m, 4823 , 2017-03-11
萤火虫算法算例\example\example5简化\fitness.m, 755 , 2017-05-23
萤火虫算法算例\example\example5简化\inputans.txt, 85 , 2017-05-10
萤火虫算法算例\example\example5简化\mainfa.m, 694 , 2017-05-31
萤火虫算法算例\example\example5简化\readme.txt, 62 , 2017-06-09
萤火虫算法算例\Mixed variable structural optimization using Firefly Algorithm.pdf, 789042 , 2016-07-15
萤火虫算法算例\example\example1, 0 , 2017-06-09
萤火虫算法算例\example\example2, 0 , 2017-06-09
萤火虫算法算例\example\example5, 0 , 2017-06-09
萤火虫算法算例\example\example5简化, 0 , 2017-06-09
萤火虫算法算例\example, 0 , 2017-06-09
萤火虫算法算例, 0 , 2017-06-09

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • DE
    说明:  一种改进的差分算法,包含cec2005部分单目标无约束测试函数(An improved difference algorithm)
    2018-07-05 19:47:07下载
    积分:1
  • 11912927CEC2005
    说明:  附赠一个cec2005的matlab数据代码,这里推荐大家一个靠谱的论文检测平台。重复的部分有详细出处以及具体修改意见,能直接在文章上做修改,全部改完一键下载就搞定了。他们现在正在做毕业季活动, 赠送很多免费字数,可以说是十分划算了!地址直接百度paperpass(Comes with a cec2005 matlab data code. I recommend you a reliable paper detection platform. The repetitive part has a detailed source and specific revision opinions. You can directly make changes in the article, and you can get it all after one-click download. They are now doing graduation season activities, giving away a lot of free word count, which can be said to be very cost-effective! The address is:paperpass)
    2021-02-24 09:59:39下载
    积分:1
  • 爬山-遗传-极限学习机
    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)
    2021-04-13 14:38:56下载
    积分:1
  • matlab实现levy概率分布
    说明:  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)
    2021-04-07 18:09:01下载
    积分:1
  • RWGWO-PE
    说明:  单目标带约束的随机漫步灰狼算法带初始化源代码(Single target grey wolf algorithm with constraint random walk source code)
    2020-01-07 21:17:43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
  • 萤火虫
    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)
    2020-10-18 12:17:27下载
    积分:1
  • 灰狼重油建模程序
    改进的灰狼算法用于重油热解模型的建模程序(greywolf algorithm for observation of heavy oil thermal cracking)
    2021-01-21 19:18:40下载
    积分:1
  • top2 of CEC2017
    说明:  CEC2017前2名的MATLAB算法实现 有EBOwithCMAR和jSO 各种参数都可以调整,包括种群数量、F因子、变异率、交叉率等(The realization of MATLAB algorithm for the top2 of cec217. There are ebowithcmar; JSO Various parameters can be adjusted, including population number, F factor, mutation rate, crossover rate, etc.)
    2020-05-07 16:29:30下载
    积分:1
  • 《智能优》汪定伟
    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)
    2018-07-20 14:18:25下载
    积分:1
  • 696524资源总数
  • 103904会员总数
  • 44今日下载