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.

NAME

SYNOPSIS

DESCRIPTION

SELECTION OPERATORS AND THEIR METHODS

AUTHOR

COPYRIGHTS