--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/main/ga/devel/demo_ga.m	Wed Mar 21 18:58:42 2012 +0000
@@ -0,0 +1,62 @@
+## Copyright (C) 2012 Luca Favatella <slackydeb@gmail.com>
+##
+## This program is free software; you can redistribute it and/or modify
+## it under the terms of the GNU General Public License as published by
+## the Free Software Foundation; either version 2 of the License, or
+## (at your option) any later version.
+##
+## This program is distributed in the hope that it will be useful,
+## but WITHOUT ANY WARRANTY; without even the implied warranty of
+## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+## GNU General Public License for more details.
+##
+## You should have received a copy of the GNU General Public License
+## along with this program; If not, see <http://www.gnu.org/licenses/>.
+
+## -*- texinfo -*-
+## @deftypefn{Script File} {} demo_ga
+## Run a demo of the genetic algorithm package.  The current
+## implementation is only a placeholder.
+## @end deftypefn
+
+## Author: Luca Favatella <slackydeb@gmail.com>
+## Created: March 2012
+## Version: 0.0.4
+
+demo demo_ga
+
+
+%!demo
+%! % TODO
+
+
+## This code is a simple example of the usage of ga
+                                # TODO: convert to demo
+# %!xtest assert (ga (@rastriginsfcn, 2), [0, 0], 1e-3)
+
+
+## This code shows that ga optimizes also functions whose minimum is not
+## in zero
+                                # TODO: convert to demo
+# %!xtest
+# %! min = [-1, 2];
+# %! assert (ga (struct ("fitnessfcn", @(x) rastriginsfcn (x - min), "nvars", 2, "options", gaoptimset ("FitnessLimit", 1e-7, "Generations", 1000, "PopInitRange", [-5; 5], "PopulationSize", 200))), min, 1e-5)
+
+
+## This code shows that the "Vectorize" option usually speeds up execution
+                                # TODO: convert to demo
+# %!test
+# %!
+# %! tic ();
+# %! ga (struct ("fitnessfcn", @rastriginsfcn, "nvars", 2, "options", gaoptimset ("Generations", 10, "PopulationSize", 200)));
+# %! elapsed_time = toc ();
+# %!
+# %! tic ();
+# %! ga (struct ("fitnessfcn", @rastriginsfcn, "nvars", 2, "options", gaoptimset ("Generations", 10, "PopulationSize", 200, "Vectorized", "on")));
+# %! elapsed_time_with_vectorized = toc ();
+# %!
+# %! assert (elapsed_time > elapsed_time_with_vectorized);
+
+## The "UseParallel" option should speed up execution
+                                # TODO: write demo (after implementing
+                                # UseParallel) - low priority

--- a/main/ga/inst/demo_ga.m	Wed Mar 21 16:35:49 2012 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,62 +0,0 @@
-## Copyright (C) 2012 Luca Favatella <slackydeb@gmail.com>
-##
-## This program is free software; you can redistribute it and/or modify
-## it under the terms of the GNU General Public License as published by
-## the Free Software Foundation; either version 2 of the License, or
-## (at your option) any later version.
-##
-## This program is distributed in the hope that it will be useful,
-## but WITHOUT ANY WARRANTY; without even the implied warranty of
-## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-## GNU General Public License for more details.
-##
-## You should have received a copy of the GNU General Public License
-## along with this program; If not, see <http://www.gnu.org/licenses/>.
-
-## -*- texinfo -*-
-## @deftypefn{Script File} {} demo_ga
-## Run a demo of the genetic algorithm package.  The current
-## implementation is only a placeholder.
-## @end deftypefn
-
-## Author: Luca Favatella <slackydeb@gmail.com>
-## Created: March 2012
-## Version: 0.0.4
-
-demo demo_ga
-
-
-%!demo
-%! % TODO
-
-
-## This code is a simple example of the usage of ga
-                                # TODO: convert to demo
-# %!xtest assert (ga (@rastriginsfcn, 2), [0, 0], 1e-3)
-
-
-## This code shows that ga optimizes also functions whose minimum is not
-## in zero
-                                # TODO: convert to demo
-# %!xtest
-# %! min = [-1, 2];
-# %! assert (ga (struct ("fitnessfcn", @(x) rastriginsfcn (x - min), "nvars", 2, "options", gaoptimset ("FitnessLimit", 1e-7, "Generations", 1000, "PopInitRange", [-5; 5], "PopulationSize", 200))), min, 1e-5)
-
-
-## This code shows that the "Vectorize" option usually speeds up execution
-                                # TODO: convert to demo
-# %!test
-# %!
-# %! tic ();
-# %! ga (struct ("fitnessfcn", @rastriginsfcn, "nvars", 2, "options", gaoptimset ("Generations", 10, "PopulationSize", 200)));
-# %! elapsed_time = toc ();
-# %!
-# %! tic ();
-# %! ga (struct ("fitnessfcn", @rastriginsfcn, "nvars", 2, "options", gaoptimset ("Generations", 10, "PopulationSize", 200, "Vectorized", "on")));
-# %! elapsed_time_with_vectorized = toc ();
-# %!
-# %! assert (elapsed_time > elapsed_time_with_vectorized);
-
-## The "UseParallel" option should speed up execution
-                                # TODO: write demo (after implementing
-                                # UseParallel) - low priority