一、星雀优化算法NOA
星雀优化算法(Nutcracker optimizer algorithm,NOA)由Mohamed Abdel-Basset等人于2023年提出，该算法模拟星雀的两种行为，即：在夏秋季节收集并储存食物，在春冬季节搜索食物的存储位置。星雀优化算法(Nutcracker optimizer algorithm,NOA)_IT猿手的博客-CSDN博客
参考文献：
1\]Mohamed Abdel-Basset, Reda Mohamed, Mohammed Jameel, Mohamed Abouhawwash.**Nutcracker optimizer: A novel nature-inspired metaheuristic algorithm for global optimization and engineering design problems**\[J\]. Knowledge-Based Systems,2023,262. ### 二、CEC2017简介 CEC2017简介 [cec2017(python)：红狐优化算法（Red fox optimization，RFO）求解cec2017_IT猿手的博客-CSDN博客](https://blog.csdn.net/weixin_46204734/article/details/129841184 "cec2017(python)：红狐优化算法（Red fox optimization，RFO）求解cec2017_IT猿手的博客-CSDN博客")  参考文献： \[1\]Awad, N. H., Ali, M. Z., Liang, J. J., Qu, B. Y., \& Suganthan, P. N. (2016). "**Problem definitions and evaluation criteria for the CEC2017 special session and competition on single objective real-parameter numerical optimization**," Technical Report. Nanyang Technological University, Singapore. ### 三、星雀优化算法NOA求解CEC2017 部分代码 ``` close all clear clc Function_name=15; %测试函数1-30 lb=-100;%变量下界 ub=100;%变量上界 dim=10;%维度 10/30/50/100 SearchAgents_no=100; % Number of search agents Max_iteration=500;%最大迭代次数 [Best_score,Best_pos,Curve]=NOA(SearchAgents_no,Max_iteration,lb,ub,dim,fobj); figure % Best convergence curve semilogy(Curve,'LineWidth',2,'Color','g'); title(strcat('CEC2017-F',num2str(Function_name))) xlabel('迭代次数'); ylabel('适应度值'); axis tight box on legend('NOA') display(['The best solution is : ', num2str(Best_pos)]); display(['The best optimal value of the objective funciton is : ', num2str(Best_score)]); ``` 部分结果      ### 四、完整MATLAB代码