Parminder Singh Reel
This may be helpful
http://www.mathworks.co.uk/matlabcentral/fileexchange/29809-cuckoo-search-cs-algorithm
2 votes
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Bryar Hassan
This might be helpful
function [z] = levy(n,m,beta) % Input parameters % n -> Number of steps % m -> Number of Dimensions % beta -> Power law index % Note: 1 < beta < 2 % Output % z -> 'n' levy steps in 'm' dimension num = gamma(1+beta)*sin(pi*beta/2); % used for Numerator den = gamma((1+beta)/2)*beta*2^((beta-1)/2); % used for Denominator sigma_u = (num/den)^(1/beta);% Standard deviation u = random('Normal',0,sigma_u^2,n,m); v = random('Normal',0,1,n,m); z = u./(abs(v).^(1/beta)); end
1 votes
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