优化算法水基湍流优化算法（TFWO） 含Matlab源码 1585期

Posted 2022-01-05 紫极神光

一、获取代码方式

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完整代码已上传我的资源：【优化算法】水基湍流优化算法（TFWO） 【含Matlab源码 1585期】

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二、部分源代码

clear all %#ok<CLALL>
close all
clc

Function_name='F5'; % Name of the test function 

MaxDecades=3000; % Maximum number of iterations

% Load details of the selected benchmark function
[VarMin,VarMax,nVar,CostFunction]=Get_Functions_details(Function_name);

[BestSol,BestCost] = TFWO (nVar,VarMin,VarMax,CostFunction,MaxDecades);


%Draw objective space
figure(1),
hold on
semilogy(BestCost,'Color','b','LineWidth',4);
title('Convergence curve')
xlabel('Iteration');
ylabel('Best fitness obtained so far');
axis tight
grid off
box on
legend('TFWO')

display(['The best location of TFWO is: ', num2str(BestSol.Position)]);
display(['The best fitness of TFWO is: ', num2str(BestSol.Cost)]);
%  Please refer to the main paper:



function [lb,ub,dim,fobj] = Get_Functions_details(F)


switch F
    case 'F1'
        fobj = @F1;
        lb=-100;
        ub=100;
        dim=30;
        
    case 'F2'
        fobj = @F2;
        lb=-10;
        ub=10;
        dim=30;
        
    case 'F3'
        fobj = @F3;
        lb=-100;
        ub=100;
        dim=30;
        
    case 'F4'
        fobj = @F4;
        lb=-100;
        ub=100;
        dim=30;
        
    case 'F5'
        fobj = @F5;
        lb=-30;
        ub=30;
        dim=30;
        
    case 'F6'
        fobj = @F6;
        lb=-100;
        ub=100;
        dim=30;
        
    case 'F7'
        fobj = @F7;
        lb=-1.28;
        ub=1.28;
        dim=30;
        
    case 'F8'
        fobj = @F8;
        lb=-500;
        ub=500;
        dim=30;
        
    case 'F9'
        fobj = @F9;
        lb=-5.12;
        ub=5.12;
        dim=30;
        
    case 'F10'
        fobj = @F10;
        lb=-32;
        ub=32;
%         dim=30;
        dim=30;
    case 'F11'
        fobj = @F11;
        lb=-600;
        ub=600;
        dim=30;
        
    case 'F12'
        fobj = @F12;
        lb=-50;
        ub=50;
        dim=30;
        
    case 'F13'
        fobj = @F13;
        lb=-50;
        ub=50;
        dim=30;
        
    case 'F14'
        fobj = @F14;
        lb=-65.536;
        ub=65.536;
        dim=2;
        
    case 'F15'
        fobj = @F15;
        lb=-5;
        ub=5;
        dim=4;
        
    case 'F16'
        fobj = @F16;
        lb=-5;
        ub=5;
        dim=2;
        
    case 'F17'
        fobj = @F17;
        lb=[-5,0];
        ub=[10,15];
        dim=2;
        
    case 'F18'
        fobj = @F18;
        lb=-5;
        ub=5;
        dim=2;
        

三、运行结果

四、matlab版本及参考文献

1 matlab版本
2014a

2 参考文献
[1] 包子阳,余继周,杨杉.智能优化算法及其MATLAB实例（第2版）[M].电子工业出版社，2016.
[2]张岩,吴水根.MATLAB优化算法源代码[M].清华大学出版社，2017.
[3]张俊根,姬红兵.IMM迭代扩展卡尔曼粒子滤波跟踪算法[J].电子与信息学报. 2010,32(05)