【哈里斯鹰算法】基于萤火虫算法结合哈里斯鹰算法求解单目标问题附matlab代码(HHO-HGSO)

1 简介

基于萤火虫算法结合哈里斯鹰算法求解单目标问题​

2 部分代码

clc;clear all;​% % % % [Lb,Ub,dim,fobj] = Unimodal_Functions('F6');% % % % figure;% % % % Uni_plot('F6') % [Lb,Ub,dim,fobj] = Multimodal_Functions('F3');figure;Multi_plot('F3')% % % % [Lb,Ub,dim,fobj] = fixed_Functions('F10');% % % figure;% % % fixed_plot('F10')           fun=fobj; ​                           var_niter=1000;  [xf,fval,vec_Gbest_iter]=HGSO(fun,dim,Lb,Ub,var_niter);[Rabbit_Energy,Rabbit_Location,vec_Gbest_iter2]=HHO(42,var_niter,Lb,Ub,dim,fun);[Top_predator_fit,Top_predator_pos,vec_Gbest_iter3]=MPA(42,var_niter,Lb,Ub,dim,fun);[Leader_score,Leader_pos,vec_Gbest_iter4]=WOA(42,var_niter,Lb,Ub,dim,fun);vec_Gbest_iter5 =LSA(42,Lb,Ub,dim,var_niter,fun);[Xmin,Fmin,vec_Gbest_iter6]=WCA(fun,Lb,Ub,dim);[xf2,fval2,vec_Gbest_iter7]= HHOHGSO(fun,dim,Lb,Ub,var_niter);​%%disp(['Iteration : ' num2str(1000) ' Minimum value(HGSO) =' num2str(vec_Gbest_iter(end))]);disp(['Iteration : ' num2str(1000) ' Minimum value(HHO) =' num2str(vec_Gbest_iter2(end))]);disp(['Iteration : ' num2str(1000) ' Minimum value(MPA) =' num2str(vec_Gbest_iter3(end))]);disp(['Iteration : ' num2str(1000) ' Minimum value(WOA) =' num2str(vec_Gbest_iter4(end))]);disp(['Iteration : ' num2str(1000) ' Minimum value(LSA) =' num2str(vec_Gbest_iter5(end))]);disp(['Iteration : ' num2str(1000) ' Minimum value(WCA) =' num2str(vec_Gbest_iter6(end))]);disp(['Iteration : ' num2str(1000) ' Minimum value(HH0-HGSO) =' num2str(vec_Gbest_iter7(end))]);%%figure,​% if (vec_Gbest_iter(end)<0)||(vec_Gbest_iter2(end)<0)||(vec_Gbest_iter3(end)<0)||(vec_Gbest_iter4(end)<0)||(vec_Gbest_iter5(end)<0)%     plot(vec_Gbest_iter,'Marker','^','markersize',4,'Color','k','linewidth',1.5)%     hold on%     plot(vec_Gbest_iter2,'Marker','o','markersize',4,'Color','b','linewidth',1.5)%     hold on%     plot(vec_Gbest_iter3,'Marker','+','markersize',4,'Color','g','linewidth',1.5)%     hold on%     plot(vec_Gbest_iter4,'Marker','v','markersize',4,'Color','c','linewidth',1.5)%     hold on%     plot(vec_Gbest_iter5,'Marker','>','markersize',4,'Color','m','linewidth',1.5)%     hold on%     plot(vec_Gbest_iter6,'Marker','s','markersize',4,'Color',[0.3 0.5 0.9],'linewidth',1.5)%     hold on%     plot(vec_Gbest_iter7,'Marker','p','markersize',4,'Color','r','linewidth',1.5)% else    semilogy(vec_Gbest_iter,'Marker','^','markersize',4,'Color','k','linewidth',1.5)    hold on    semilogy(vec_Gbest_iter2,'Marker','o','markersize',4,'Color','b','linewidth',1.5)    hold on    semilogy(vec_Gbest_iter3,'Marker','+','markersize',4,'Color','g','linewidth',1.5)    hold on    semilogy(vec_Gbest_iter4,'Marker','v','markersize',4,'Color','c','linewidth',1.5)    hold on    semilogy(vec_Gbest_iter5,'Marker','>','markersize',4,'Color','m','linewidth',1.5)    hold on    semilogy(vec_Gbest_iter6,'Marker','s','markersize',4,'Color',[0.3 0.5 0.9],'linewidth',1.5)    hold on    semilogy(vec_Gbest_iter7,'Marker','p','markersize',4,'Color','r','linewidth',1.5)% endxlim([0 var_niter]);title('Objective Space') xlabel('Iteration')ylabel('Best score obtianed so far')legend('HGSO','HHO','MPA','WOA','LSA','WCA','HHO-HGSO')set(gca,'FontName','Times New Roman','FontSize',12,'LineWidth',1.5);​set(gcf,'color','w');​box off​

3 仿真结果

4 参考文献

[1]尹德鑫, 张琳娜, 张达敏,等. 基于混沌透镜成像学习的哈里斯鹰算法及其应用[J]. 传感技术学报, 2021, 34(11):12.

博主简介：擅长智能优化算法、神经网络预测、信号处理、元胞自动机、图像处理、路径规划、无人机等多种领域的Matlab仿真，相关matlab代码问题可私信交流。

部分理论引用网络文献，若有侵权联系博主删除。