【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

4 参考文献

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