% Floor planning with an optimal trade-off curve.
% Boyd, Kim, Vandenberghe, and Hassibi, "A Tutorial on Geometric Programming"
% Written for CVX by Almir Mutapcic 02/08/06
% (a figure is generated)
%
% Solves the problem of configuring and placing rectangles such
% that they do not overlap and that they minimize the area of the
% bounding box. This code solves the specific instances given
% in the GP tutorial. We have four rectangles with variable
% width w_i and height h_i. They need to satisfy area and aspect
% ration constraints. The GP is formulated as:
%
% minimize max(wa+wb,wc+wd)*(max(ha,hb)+max(hc,hd))
% s.t. wa*ha == area_a, wb*hb == area_b, ...
% 1/alpha_max <= ha/wa <= alpha_max, ...
%
% where variables are rectangle widths w's and heights h's.
% constants
a = 0.2;
b = 0.5;
c = 1.5;
d = 0.5;
% alpha is the changing parameter
N = 20;
alpha = linspace(1.01,4,N);
fprintf(1,'Solving for the optimal tradeoff curve...\n');
min_area = zeros(N,1);
for n = 1:N
% GP variables
fprintf( 'alpha = %.2f ... ', alpha(n) );
cvx_begin gp quiet
variables wa wb wc wd ha hb hc hd
% objective function is the area of the bounding box
minimize( max(wa+wb,wc+wd)*(max(ha,hb)+max(hc,hd)) )
subject to
% constraints (now impose the non-changing constraints)
ha*wa == a; hb*wb == b; hc*wc == c; hd*wd == d;
1/alpha(n) <= ha/wa <= alpha(n);
1/alpha(n) <= hb/wb <= alpha(n);
1/alpha(n) <= hc/wc <= alpha(n);
1/alpha(n) <= hd/wd <= alpha(n);
cvx_end
fprintf( 'area = %.2f\n', cvx_optval );
min_area(n) = cvx_optval;
end
figure, clf
plot(alpha,min_area);
xlabel('alpha'); ylabel('min area');
axis([1 4 2.5 4]);
disp('Optimal tradeoff curve is plotted.')