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AI::Genetic::OpSelection - A class that implements various selection operators.
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AI::Genetic::OpSelection - A class that implements various selection operators.
See the AI::Genetic manpage.
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)
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 the AI::Genetic manpage.
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.
Written by Ala Qumsieh aqumsieh@cpan.org.
(c) 2003,2004 Ala Qumsieh. All rights reserved.
This module is distributed under the same terms as Perl itself.
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AI::Genetic::OpSelection - A class that implements various selection operators.
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