一、星雀優(yōu)化算法NOA
星雀優(yōu)化算法(Nutcracker optimizer algorithm,NOA)由Mohamed Abdel-Basset等人于2023年提出，該算法模擬星雀的兩種行為，即：在夏秋季節(jié)收集并儲(chǔ)存食物，在春冬季節(jié)搜索食物的存儲(chǔ)位置。星雀優(yōu)化算法(Nutcracker optimizer algorithm,NOA)_IT猿手的博客-CSDN博客
參考文獻(xiàn)：
[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簡(jiǎn)介
CEC2017簡(jiǎn)介 cec2017(python)：紅狐優(yōu)化算法（Red fox optimization，RFO）求解cec2017_IT猿手的博客-CSDN博客
參考文獻(xiàn)：
[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、星雀優(yōu)化算法NOA求解CEC2017
部分代碼
close all
clear?
clc
Function_name=15; %測(cè)試函數(shù)1-30
lb=-100;%變量下界
ub=100;%變量上界
dim=10;%維度 10/30/50/100
SearchAgents_no=100; % Number of search agents
Max_iteration=500;%最大迭代次數(shù)
[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('迭代次數(shù)');
ylabel('適應(yīng)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)]);
部分結(jié)果
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四、完整MATLAB代碼
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