cec2017（MATLAB）：星雀优化算法(Nutcracker optimizer algorithm,NOA)

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

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