function [selectedInds fitness avgFitness] = selection(indsDec,y1,N)
    % y1=inline('sin((pi*x)/256)');
    % fitness of individuals (f)
    fitness=y1(indsDec);
    % show individuals on function plot
%     clf
%     plot(indsDec,fitness,'rs','MarkerfaceColor','r','MarkerEdgeColor','k')
%     grid on
%     drawnow
%     pause(0.1)
    % average fitness (f nadvuceno)
    avgFitness=mean(fitness);
    % normalized fitness (ff)
    normFitness=fitness/avgFitness;
    % percentage for roulette wheel
    percFitness=normFitness/N;
    % cumulative fitness fKum
    fKum=100*cumsum(percFitness);
    
    rndNums=randi(1,N,100);
    selectedInds=zeros(1,N);
    for i=1:N
        selectedInds(i)=find(fKum>rndNums(i),1);
    end
end