real coded Genetic algorithm

i have found the objective fun (ie) is given below fitR = zeros(1,N); for j = 1: N PI0 = PI(1:xR(j,1)); ind = PI0 == 0; ind = ind .* eps; PI0 = PI0 + ind; clear ind w0 = sum(PI0); H0 = -sum((PI0/w0).*(log(PI0/w0))); fitR(j) = fitR(j) + H0; for jl = 2: level PI0 = PI(xR(j,jl-1)+1:xR(j,jl)); ind = PI0 == 0; ind = ind .* eps; PI0 = PI0 + ind; clear ind w0 = sum(PI0); H0 = -sum((PI0/w0).*(log(PI0/w0))); fitR(j) = fitR(j) + H0; end end please tell me how to apply the objective fun in real coded GA .provide some example coding

Answer 1

[Stalin Samuel]

http://www.mathworks.in/help/gads/examples/performing-a-multiobjective-optimization-using-the-genetic-algorithm.html http://www.ie.itcr.ac.cr/rpereira/mat_ant/Genetic%20Algorithms/AII.pdf http://noticias.espe.edu.ec/controlinteligente/files/2012/11/genetic-algorithm-in-MATLAB.pdf http://is.iiita.ac.in/study/Computational%20Intelligence/MATLAB%20CODE=%20REAL%20CODED%20Genetic%20Algorithm%20one%20variable.m