一、红嘴蓝鹊优化器
红嘴蓝鹊优化器（Red-billed Blue Magpie Optimizer，RBMO）由Fu Shengwei 等人于2024年提出，其灵感来自红嘴蓝鹊的高效合作捕食行为，具体模拟了红嘴蓝鹊的搜索、追逐、攻击猎物和食物储存行为。
参考文献
1\]Fu, S., Li, K., Huang, H. *et al.* Red-billed blue magpie optimizer: a novel metaheuristic algorithm for 2D/3D UAV path planning and engineering design problems. *Artif Intell Rev* **57** , 134 (2024). [Red-billed blue magpie optimizer: a novel metaheuristic algorithm for 2D/3D UAV path planning and engineering design problems \| Artificial Intelligence Review](https://doi.org/10.1007/s10462-024-10716-3 "Red-billed blue magpie optimizer: a novel metaheuristic algorithm for 2D/3D UAV path planning and engineering design problems | Artificial Intelligence Review") ### 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='F6'; % 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]=RBMO(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('RBMO') 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