一、获取代码方式


获取代码方式:

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】


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

【优化算法】水基湍流优化算法(TFWO) 【含Matlab源码 1585期】_f5

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)