【智能优化算法】基于人工兔群优化算法求解单目标优化问题附matlab代码

 1 简介

Artificial rabbits optimization (ARO): a new bio-inspired meta-heuristic algorithm for solving engineering optimization problems

2 部分代码

%--------------------------------------------------------------------------
%%% Artificial Rabbits Optimization (ARO) for 23 functions %%%
% ARO code v1.0.
% Developed in MATLAB R2011b
% --------------------------------------------------------------------------
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%BestX:The best solution %
% BestF:The best fitness %
% HisBestF:History of the best fitness %
% FunIndex：Index of functions %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
clc;
clear;
MaxIteration=1000;
PopSize=50;
FunIndex=1;
[BestX,BestF,HisBestF]=ARO(FunIndex,MaxIteration,PopSize);
% display(['FunIndex=', num2str(FunIndex)]);
display(['The best fitness of F',num2str(FunIndex),' is: ', num2str(BestF)]);
%display(['The best solution is: ', num2str(BestX)]);
if BestF>0
semilogy(HisBestF,'r','LineWidth',2);
else
plot(HisBestF,'r','LineWidth',2);
end
xlabel('Iterations');
ylabel('Fitness');
title(['F',num2str(FunIndex)]);

3 仿真结果

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编辑

4 参考文献

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。