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Clcclearclose allticfigure (1); fun_plot;hold on%% parameter setting fishnum=100;% generate 100 artificial fish MAXGEN=50;% maximum number of iterations try_number=100;% maximum number of trials visual=1;% perceived distance delta=0.618;% crowding factor step=0.1;% step% initialize fish shoal lb_ub= [- 10 fishnum,lb_ub; LBUB= []; for i=1:size (lb_ub,1) LBUB= [LBUB] Repmat (lb_ub (iMagen 1), lb_ub (iMagen 3), 1)]; endgen=1;BestY=-1*ones (1Mageen);% optimal function value BestX=-1*ones (2MAXGEN) in each step;% optimal independent variable besty=-100;% optimal function value Y=AF_foodconsistence (X) in each step; while genYi2X (:, I) = Xi1;Y (1meme I) = Yi1;elseX (:, I) = Xi2;Y (1MAXGEN) = Yi2 Endend [Ymax,index] = max (Y); figure (1); plot3 (X (1), X (2), Y (index),'.', 'color', [gen/MAXGEN,0,0]) if Ymax > bestybesty=Ymax;bestx=X (:, index); BestY (gen) = Ymax; [BestX (:, gen)] = X (:, index); elseBestY (gen) = BestY (gen-1); [BestX (:, gen)] = BestX (::, gen-1); endgen=gen+1 Endplot3 (bestx (1), bestx (2), AF_foodconsistence ([bestx (1); bestx (2)]), 'ro','MarkerSize',10) xlabel (' x') ylabel ('y') title ('optimal coordinate movement in iterative process of fish swarm algorithm')

%% Optimization process Diagram

Figureplot xlabel ('number of iterations') ylabel ('optimized value') title ('iterative process of fish swarm algorithm') disp (['optimal solution XRV' Magnum num2str (bestx','%1.5f')]) disp (['optimal solution')

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