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| Genetic::OpSelection(3) | User Contributed Perl Documentation | Genetic::OpSelection(3) |
NAME
AI::Genetic::OpSelection - A class that implements various selection operators.
SYNOPSIS
See AI::Genetic.
DESCRIPTION
This package implements a few selection mechanisms that can be used in user-defined strategies. The methods in this class are to be called as static class methods, rather than instance methods, which means you must call them as such:
AI::Genetic::OpSelection::MethodName(arguments)
SELECTION OPERATORS AND THEIR METHODS
The following selection operators are defined:
- Roulette Wheel
- Here, the probability of an individual being selected is proportional to its fitness score. The following methods are defined:
- initWheel(population)
- This method initializes the roulette wheel. It expects an anonymous list of individuals, as returned by the people() method as described in "CLASS METHODS" in AI::Genetic. This must be called only once.
- roulette(?N?)
- This method selects N individuals. N defaults to 2. Note that the same individual can be selected multiple times.
- rouletteUnique(?N?)
- This method selects N unique individuals. N defaults to 2. Any individual can be selected only once per call to this method.
- Tournament
- Here, N individuals are randomly selected, and the fittest one of them is returned. The following method is defined:
- tournament(?N?)
- N defaults to 2. Note that only one individual is returned per call to this method.
- Random
- Here, N individuals are randomly selected and returned. The following method is defined:
- random(?N?)
- N defaults to 1.
- Fittest
- Here, the fittest N individuals of the whole population are returned. The following method is defined:
- topN(?N?)
- N defaults to 1.
AUTHOR
Written by Ala Qumsieh aqumsieh@cpan.org.
COPYRIGHTS
(c) 2003,2004 Ala Qumsieh. All rights reserved. This module is distributed under the same terms as Perl itself.
| 2005-03-04 | perl v5.40.2 |
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