1 ## Copyright (C) 2008 Luca Favatella <slackydeb@gmail.com>
3 ## This program is free software; you can redistribute it and/or modify
4 ## it under the terms of the GNU General Public License as published by
5 ## the Free Software Foundation; either version 2 of the License, or
6 ## (at your option) any later version.
8 ## This program is distributed in the hope that it will be useful,
9 ## but WITHOUT ANY WARRANTY; without even the implied warranty of
10 ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
11 ## GNU General Public License for more details.
13 ## You should have received a copy of the GNU General Public License
14 ## along with this program; If not, see <http://www.gnu.org/licenses/>.
17 ## @deftypefn{Function File} {@var{Population} =} gacreationuniform (@var{GenomeLength}, @var{FitnessFcn}, @var{options})
18 ## Create a random initial population with a uniform distribution.
23 ## The number of indipendent variables for the fitness function.
25 ## The fitness function.
27 ## The options structure.
33 ## The initial population for the genetic algorithm.
36 ## @seealso{ga, gaoptimset}
39 ## Author: Luca Favatella <slackydeb@gmail.com>
42 function Population = gacreationuniform (GenomeLength, FitnessFcn, options)
43 [LB(1, 1:GenomeLength) UB(1, 1:GenomeLength)] = \
44 __ga_popinitrange__ (options.PopInitRange, GenomeLength);
48 ## Population = Delta * RandomPopulationBetween0And1 + Offset
49 Population(1:options.PopulationSize, 1:GenomeLength) = \
50 ((ones (options.PopulationSize, 1) * (UB - LB)) .* \
51 rand (options.PopulationSize, GenomeLength)) + \
52 (ones (options.PopulationSize, 1) * LB);
56 ## number of input arguments
59 ## number of output arguments