一、大甘蔗鼠算法
大甘蔗鼠算法（Greater Cane Rat Algorithm，GCRA）由Jeffrey O. Agushaka等人于2024年提出，该算法模拟大甘蔗鼠的智能觅食行为。
参考文献
1\]Agushaka J O, Ezugwu A E, Saha A K, et al. Greater Cane Rat Algorithm (GCRA): A Nature-Inspired Metaheuristic for Optimization Problems\[J\]. Heliyon, 2024. ### 二、23个函数介绍  [参考文献](https://so.csdn.net/so/search?q=%E5%8F%82%E8%80%83%E6%96%87%E7%8C%AE&spm=1001.2101.3001.7020 "参考文献")： \[1\] Yao X, Liu Y, [Lin](https://so.csdn.net/so/search?q=Lin&spm=1001.2101.3001.7020 "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='F8'; % 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]=GCRA(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('GCRA') 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        ### 五、完整MATLAB代码