一、算法介绍
鹅优化算法(GOOSE Algorithm,GOOSE)是2024年提出的一种智能优化算法,该算法从鹅的休息和觅食行为获得灵感,当鹅听到任何奇怪的声音或动作时,它们会发出响亮的声音来唤醒群中的个体,并保证它们的安全。
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参考文献
[1]Hamad R K, Rashid T A. GOOSE algorithm: a powerful optimization tool for real-world engineering challenges and beyond[J]. Evolving Systems, 2024: 1-26.
二、23个函数简介
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参考文献:
[1] Yao X, Liu Y, Lin G M. Evolutionary programming made faster[J]. IEEE transactions on evolutionary computation, 1999, 3(2):82-102.
三、部分代码
close all ;
clear
clc
Npop=30;
Function_name='F1'; % Name of the test function that can be from F1 to F23 (
Tmax=300;
[lb,ub,dim,fobj]=Get_Functions_details(Function_name);
[Best_fit,Best_pos,Convergence_curve]=(Npop,Tmax,lb,ub,dim,fobj);
figure('Position',[100 100 660 290])
%Draw search space
subplot(1,2,1);
func_plot(Function_name);
title('Parameter space')
xlabel('x_1');
ylabel('x_2');
zlabel([Function_name,'( x_1 , x_2 )'])
%Draw objective space
subplot(1,2,2);
semilogy(Convergence_curve,'Color','r','linewidth',3)
title('Search space')
xlabel('Iteration');
ylabel('Best score obtained so far');
axis tight
grid on
box on
legend('')
saveas(gca,[Function_name '.jpg']);
display(['The best solution is ', num2str(Best_pos)]);
display(['The best fitness value is ', num2str(Best_fit)]);
四、部分结果
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五、完整MATLAB代码
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