www.gusucode.com > Weighted Differential Evolution Algorithm (WDE) > Weighted Differential Evolution Algorithm (WDE)/cc_wde/classic_benchmark_problems/rosenbrock.m
function ObjVal = rosenbrock(Chrom,switc); % Dimension of objective function Dim=size(Chrom,2); % Compute population parameters [Nind,Nvar] = size(Chrom); % function 11, sum of 100* (x(i+1) -xi^2)^2+(1-xi)^2 for i = 1:Dim (Dim=10) % n = Dim, -10 <= xi <= 10 % global minimum at (xi)=(1) ; fmin=0 Mat1 = Chrom(:,1:Nvar-1); Mat2 = Chrom(:,2:Nvar); if Dim == 2 ObjVal = 100*(Mat2-Mat1.^2).^2+(1-Mat1).^2; else ObjVal = sum((100*(Mat2-Mat1.^2).^2+(1-Mat1).^2)')'; end % End of function return