登录
首页 » matlab » MFOA

MFOA

于 2020-06-16 发布
0 1170
下载积分: 1 下载次数: 10

代码说明:

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)

文件列表:

cec17_func.cpp, 41819 , 2019-01-17
cec17_func.mexw64, 51712 , 2017-06-29
input_data, 0 , 2019-01-17
input_data\M_10_D10.txt, 2520 , 2016-09-04
input_data\M_10_D100.txt, 250200 , 2016-09-04
input_data\M_10_D2.txt, 104 , 2016-09-04
input_data\M_10_D20.txt, 10040 , 2016-09-04
input_data\M_10_D30.txt, 22560 , 2016-09-04
input_data\M_10_D50.txt, 62600 , 2016-09-04
input_data\M_11_D10.txt, 2520 , 2016-09-04
input_data\M_11_D100.txt, 250200 , 2016-09-04
input_data\M_11_D30.txt, 22560 , 2016-09-04
input_data\M_11_D50.txt, 62600 , 2016-09-04
input_data\M_12_D10.txt, 2520 , 2016-09-04
input_data\M_12_D100.txt, 250200 , 2016-09-04
input_data\M_12_D30.txt, 22560 , 2016-09-04
input_data\M_12_D50.txt, 62600 , 2016-09-04
input_data\M_13_D10.txt, 2520 , 2016-09-04
input_data\M_13_D100.txt, 250200 , 2016-09-04
input_data\M_13_D30.txt, 22560 , 2016-09-04
input_data\M_13_D50.txt, 62600 , 2016-09-04
input_data\M_14_D10.txt, 2520 , 2016-09-04
input_data\M_14_D100.txt, 250200 , 2016-09-04
input_data\M_14_D30.txt, 22560 , 2016-09-04
input_data\M_14_D50.txt, 62600 , 2016-09-04
input_data\M_15_D10.txt, 2520 , 2016-09-04
input_data\M_15_D100.txt, 250200 , 2016-09-04
input_data\M_15_D30.txt, 22560 , 2016-09-04
input_data\M_15_D50.txt, 62600 , 2016-09-04
input_data\M_16_D10.txt, 2520 , 2016-09-04
input_data\M_16_D100.txt, 250200 , 2016-09-04
input_data\M_16_D30.txt, 22560 , 2016-09-04
input_data\M_16_D50.txt, 62600 , 2016-09-04
input_data\M_17_D10.txt, 2520 , 2016-09-04
input_data\M_17_D100.txt, 250200 , 2016-09-04
input_data\M_17_D30.txt, 22560 , 2016-09-04
input_data\M_17_D50.txt, 62600 , 2016-09-04
input_data\M_18_D10.txt, 2520 , 2016-09-04
input_data\M_18_D100.txt, 250200 , 2016-09-04
input_data\M_18_D30.txt, 22560 , 2016-09-04
input_data\M_18_D50.txt, 62600 , 2016-09-04
input_data\M_19_D10.txt, 2520 , 2016-09-04
input_data\M_19_D100.txt, 250200 , 2016-09-04
input_data\M_19_D30.txt, 22560 , 2016-09-04
input_data\M_19_D50.txt, 62600 , 2016-09-04
input_data\M_1_D10.txt, 2520 , 2016-09-04
input_data\M_1_D100.txt, 250200 , 2016-09-04
input_data\M_1_D2.txt, 104 , 2016-09-04
input_data\M_1_D20.txt, 10040 , 2016-09-04
input_data\M_1_D30.txt, 22560 , 2016-09-04
input_data\M_1_D50.txt, 62600 , 2016-09-04
input_data\M_20_D10.txt, 2520 , 2016-09-04
input_data\M_20_D100.txt, 250200 , 2016-09-09
input_data\M_20_D20.txt, 10040 , 2016-09-04
input_data\M_20_D30.txt, 22560 , 2016-09-04
input_data\M_20_D50.txt, 62600 , 2016-09-04
input_data\M_21_D10.txt, 25200 , 2016-09-04
input_data\M_21_D100.txt, 2502000 , 2016-09-04
input_data\M_21_D2.txt, 832 , 2016-09-04
input_data\M_21_D20.txt, 100400 , 2016-09-04
input_data\M_21_D30.txt, 225600 , 2016-09-04
input_data\M_21_D50.txt, 626000 , 2016-09-04
input_data\M_22_D10.txt, 25200 , 2016-09-04
input_data\M_22_D100.txt, 2502000 , 2016-09-04
input_data\M_22_D2.txt, 832 , 2016-09-04
input_data\M_22_D20.txt, 100400 , 2016-09-04
input_data\M_22_D30.txt, 225600 , 2016-09-04
input_data\M_22_D50.txt, 626000 , 2016-09-04
input_data\M_23_D10.txt, 25200 , 2016-09-04
input_data\M_23_D100.txt, 2502000 , 2016-09-04
input_data\M_23_D2.txt, 832 , 2016-09-04
input_data\M_23_D20.txt, 100400 , 2016-09-04
input_data\M_23_D30.txt, 225600 , 2016-09-04
input_data\M_23_D50.txt, 626000 , 2016-09-04
input_data\M_24_D10.txt, 25200 , 2016-09-04
input_data\M_24_D100.txt, 2502000 , 2016-09-04
input_data\M_24_D2.txt, 832 , 2016-09-04
input_data\M_24_D20.txt, 100400 , 2016-09-04
input_data\M_24_D30.txt, 225600 , 2016-09-04
input_data\M_24_D50.txt, 626000 , 2016-09-04
input_data\M_25_D10.txt, 25200 , 2016-09-04
input_data\M_25_D100.txt, 2502000 , 2016-09-04
input_data\M_25_D2.txt, 832 , 2016-09-04
input_data\M_25_D20.txt, 100400 , 2016-09-04
input_data\M_25_D30.txt, 225600 , 2016-09-04
input_data\M_25_D50.txt, 626000 , 2016-09-04
input_data\M_26_D10.txt, 25200 , 2016-09-04
input_data\M_26_D100.txt, 2502000 , 2016-09-04
input_data\M_26_D2.txt, 832 , 2016-09-04
input_data\M_26_D20.txt, 100400 , 2016-09-04
input_data\M_26_D30.txt, 225600 , 2016-09-04
input_data\M_26_D50.txt, 626000 , 2016-09-04
input_data\M_27_D10.txt, 25200 , 2016-09-04
input_data\M_27_D100.txt, 2502000 , 2016-09-04
input_data\M_27_D2.txt, 832 , 2016-09-04
input_data\M_27_D20.txt, 100400 , 2016-09-04
input_data\M_27_D30.txt, 225600 , 2016-09-04
input_data\M_27_D50.txt, 626000 , 2016-09-04
input_data\M_28_D10.txt, 25200 , 2016-09-04
input_data\M_28_D100.txt, 2502000 , 2016-09-04

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

  • 基于子区域的粒子群优化算法研究_曾嘉俊
    说明:  基于子区域的粒子群优化算法研究,粒子群算法是进化算法的一种,多用于路径规划等问题(Subregion-based Particle Swarm Optimization)
    2020-06-18 22:20:02下载
    积分:1
  • 基于人群搜索算法的函数优化
    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
  • flowshop-master(GA)
    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)
    2020-07-01 20:20:01下载
    积分:1
  • WWO
    新型的智能优化算法,水波优化算法,在基准函数CEC2014上比PSO,BBO,HS等表现要好。(A New Intelligent Optimum Algorithms, Water Wave Optimum Algorithms)
    2019-03-15 20:05:06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
  • group algorithm
    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
  • 用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
  • 爬山法-遗传算法-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
  • GA
    说明:  经典遗传算法案例,利用遗传算法求解铁罐问题(genetic algorithm optimization)
    2020-06-16 04:00:01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
  • 696516资源总数
  • 106914会员总数
  • 0今日下载