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Genetic::OpSelection(3User Contributed Perl DocumentatiGenetic::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. perl v5.32.0 2005-03-04 Genetic::OpSelection(3)
NAME | SYNOPSIS | DESCRIPTION | SELECTION OPERATORS AND THEIR METHODS | AUTHOR | COPYRIGHTS
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