• 大小: 19.99MB
    文件类型: .zip
    金币: 1
    下载: 0 次
    发布日期: 2023-07-04
  • 语言: Matlab
  • 标签: optimiztion  algo  

资源简介

一个matlab下的飞蛾优化算法,用以算法的寻优以及科学计算,对研究优化算法有很大的帮助

资源截图

代码片段和文件信息

%_______________________________________________________________________________________%
%  Multi-Verse Optimizer (MVO) source codes demo version 1.0                            %
%                                                                                       %
%  Developed in MATLAB R2011b(7.13)                                                     %
%                                                                                       %
%  Author and programmer: Seyedali Mirjalili                                            %
%                                                                                       %
%         e-Mail: ali.mirjalili@gmail.com                                               %
%                 seyedali.mirjalili@griffithuni.edu.au                                 %
%                                                                                       %
%       Homepage: http://www.alimirjalili.com                                           %
%                                                                                       %
%   Main paper:                                                                         %
%                                                                                       %
%   S. Mirjalili S. M. Mirjalili A. Hatamlou                                          %
%   Multi-Verse Optimizer: a nature-inspired algorithm for global optimization          % 
%   Neural Computing and Applications in press2015                                   %
%   DOI: http://dx.doi.org/10.1007/s00521-015-1870-7                                    %
%                                                                                       %
%_______________________________________________________________________________________%

% This function draws the benchmark functions

function func_plot(func_name)

[lbubdimfobj]=Get_Functions_details(func_name);

switch func_name 
    case ‘F1‘ 
        x=-100:2:100; y=x; %[-100100]
        
    case ‘F2‘ 
        x=-100:2:100; y=x; %[-1010]
        
    case ‘F3‘ 
        x=-100:2:100; y=x; %[-100100]
        
    case ‘F4‘ 
        x=-100:2:100; y=x; %[-100100]
    case ‘F5‘ 
        x=-200:2:200; y=x; %[-55]
    case ‘F6‘ 
        x=-100:2:100; y=x; %[-100100]
    case ‘F7‘ 
        x=-1:0.03:1;  y=x  %[-11]
    case ‘F8‘ 
        x=-500:10:500;y=x; %[-500500]
    case ‘F9‘ 
        x=-5:0.1:5;   y=x; %[-55]    
    case ‘F10‘ 
        x=-20:0.5:20; y=x;%[-500500]
    case ‘F11‘ 
        x=-500:10:500; y=x;%[-0.50.5]
    case ‘F12‘ 
        x=-10:0.1:10; y=x;%[-pipi]
    case ‘F13‘ 
        x=-5:0.08:5; y=x;%[-31]
    case ‘F14‘ 
        x=-100:2:100; y=x;%[-100100]
    case ‘F15‘ 
        x=-5:0.1:5; y=x;%[-55]
    case ‘F16‘ 
        x=-1:0.01:1; y=x;%[-55]
    case ‘F17‘ 
        x=-5:0.1:5; y=x;%[-55]
    case ‘F18‘ 
        x=-5:0.06:5; y=x;%[-55]
    case ‘F19‘ 
     

 属性            大小     日期    时间   名称
----------- ---------  ---------- -----  ----
     文件        4069  2015-03-10 21:22  MVO\func_plot.m
     文件        8180  2015-11-04 18:37  MVO\Get_Functions_details.m
     文件        2353  2015-03-10 21:03  MVO\initialization.m
     文件        1318  2014-11-12 18:07  MVO\license.txt
     文件        3654  2015-11-04 18:35  MVO\main.m
     文件        6667  2015-11-04 18:38  MVO\MVO.m
     文件      241388  2015-03-10 22:44  MVO\MVO.png
     文件        2671  2015-03-10 21:06  MVO\RouletteWheelSelection.m
     文件       43008  2015-03-13 08:32  MVO\Thumbs.db
     文件     2967555  2015-11-11 06:57  ALO.pdf
     文件     3779487  2015-05-29 20:31  DA.pdf
     文件     4355134  2015-03-21 23:17  GWO.pdf
     文件     3247436  2015-10-19 12:08  MFO.pdf
     文件     1702717  2016-07-31 22:56  MOALO.pdf
     文件     1077008  2016-01-10 18:42  MOGWO.pdf
     文件     1726085  2015-11-11 06:56  MVO.pdf
     文件     3333680  2016-02-03 19:12  SCA.pdf
     文件     1841081  2016-02-27 17:00  WOA.pdf

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