Code covered by the BSD License  

Highlights from
Many testfunctions for global optimizers

image thumbnail
from Many testfunctions for global optimizers by Rody Oldenhuis
test functions for global optimizers

bird(X)
function varargout = bird(X)
% Bird function
%
%   BIRD([x1, x2]) returns the value of the Bird function 
%   at the specified points. [x1] and [x2] may be vectors. 
%   The search domain is
%
%               -2pi < x_i < 2pi
%
%   The two global minima are
%
%                   fmin = -106.764537

% Author: Rody P.S. Oldenhuis
% Delft University of Technology
% E-mail: oldenhuis@dds.nl
% Last edited 20/Jul/2009

    % if no input is given, return dimensions, bounds and minimum
    if (nargin == 0)
        varargout{1} = 2;  % # dims
        varargout{2} = [-inf, -inf]; % LB
        varargout{3} = [+inf, +inf]; % UB
        varargout{4} = [4.701055751981055e+000, +3.152946019601391e+000
                       -1.582142172055011e+000  -3.130246799635430e+000]; % solution
        varargout{5} = -1.067645367198034e+002; % function value at solution

    % otherwise, output function value
    else
        
        % keep values in the search interval
        X(X < -2*pi) = inf;     X(X > 2*pi) = inf;
        
        % split input vector X into x1, x2
        if size(X, 1) == 2
            x1 = X(1, :);        x2 = X(2, :);
        else
            x1 = X(:, 1);        x2 = X(:, 2);
        end
        
        % output function value
        varargout{1} = sin(x1).*exp((1-cos(x2)).^2) + cos(x2).*exp((1-sin(x1)).^2) + (x1-x2).^2;
        
    end
     
end

Contact us at files@mathworks.com