AI-Genetic-Pro

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README  view on Meta::CPAN

      combination

	For combination, the argument is an anonymous list of possible
	values of gene.

            $ga->init( [ 'a', 'b', 'c' ] );

	This initializes a population where each chromosome has 3 genes and
	each gene is a unique combination of 'a', 'b' and 'c'. For example
	genes looks something like that:

            [ 'a', 'b', 'c' ]    # gene 1
            [ 'c', 'a', 'b' ]    # gene 2
            [ 'b', 'c', 'a' ]    # gene 3
            # ...and so on...

    $ga->evolve($n)

      This method causes the GA to evolve the population for the specified
      number of generations. If its argument is 0 or undef GA will evolve

README  view on Meta::CPAN

      In list context return an array representing the specified
      chromosome. In scalar context return an reference to an array
      representing the specified chromosome. If variable_length is turned
      off, this function is just an alias for as_array. If variable_length
      is turned on and is set to level 2, this function will return only
      not undef values from chromosome. See example below:

          # -variable_length => 2, -type => 'bitvector'
              
          my @chromosome = $ga->as_array($chromosome)
          # @chromosome looks something like that
          # ( undef, undef, undef, 1, 0, 1, 1, 1, 0 )
              
          @chromosome = $ga->as_array_def_only($chromosome)
          # @chromosome looks something like that
          # ( 1, 0, 1, 1, 1, 0 )

    $ga->as_string($chromosome)

      Return a string representation of the specified chromosome. See
      example below:

              # -type => 'bitvector'
              
              my $string = $ga->as_string($chromosome);
              # $string looks something like that
              # 1___0___1___1___1___0 
              
              # or 
              
              # -type => 'listvector'
              
              $string = $ga->as_string($chromosome);
              # $string looks something like that
              # element0___element1___element2___element3...

      Attention! If variable_length is turned on and is set to level 2, it
      is possible to get undef values on the left side of the vector. In
      the returned string undef values will be replaced with spaces. If you
      don't want to see any spaces, use as_string_def_only instead of
      as_string.

    $ga->as_string_def_only($chromosome)

      Return a string representation of specified chromosome. If
      variable_length is turned off, this function is just alias for
      as_string. If variable_length is turned on and is set to level 2,
      this function will return a string without undef values. See example
      below:

              # -variable_length => 2, -type => 'bitvector'
              
              my $string = $ga->as_string($chromosome);
              # $string looks something like that
              #  ___ ___ ___1___1___0 
              
              $string = $ga->as_string_def_only($chromosome);
              # $string looks something like that
              # 1___1___0 

    $ga->as_value($chromosome)

      Return the score of the specified chromosome. The value of chromosome
      is calculated by the fitness function.

SUPPORT

    AI::Genetic::Pro is still under development; however, it is used in

lib/AI/Genetic/Pro.pm  view on Meta::CPAN

This initializes a population where each individual/chromosome has 3 genes and each gene can assume an integer within the corresponding range.

=item B<combination>

For combination, the argument is an anonymous list of possible values of gene.

    $ga->init( [ 'a', 'b', 'c' ] );

This initializes a population where each chromosome has 3 genes and each gene
is a unique combination of 'a', 'b' and 'c'. For example genes looks something
like that:

    [ 'a', 'b', 'c' ]    # gene 1
    [ 'c', 'a', 'b' ]    # gene 2
    [ 'b', 'c', 'a' ]    # gene 3
    # ...and so on...

=back

=item I<$ga>-E<gt>B<evolve>($n)

lib/AI/Genetic/Pro.pm  view on Meta::CPAN

In list context return an array representing the specified chromosome. 
In scalar context return an reference to an array representing the specified 
chromosome. If I<variable_length> is turned off, this function is just an
alias for C<as_array>. If I<variable_length> is turned on and is set to 
level 2, this function will return only C<not undef> values from chromosome. 
See example below:

    # -variable_length => 2, -type => 'bitvector'
	
    my @chromosome = $ga->as_array($chromosome)
    # @chromosome looks something like that
    # ( undef, undef, undef, 1, 0, 1, 1, 1, 0 )
	
    @chromosome = $ga->as_array_def_only($chromosome)
    # @chromosome looks something like that
    # ( 1, 0, 1, 1, 1, 0 )

=item I<$ga>-E<gt>B<as_string>($chromosome)

Return a string representation of the specified chromosome. See example below:

	# -type => 'bitvector'
	
	my $string = $ga->as_string($chromosome);
	# $string looks something like that
	# 1___0___1___1___1___0 
	
	# or 
	
	# -type => 'listvector'
	
	$string = $ga->as_string($chromosome);
	# $string looks something like that
	# element0___element1___element2___element3...

Attention! If I<variable_length> is turned on and is set to level 2, it is 
possible to get C<undef> values on the left side of the vector. In the returned
string C<undef> values will be replaced with B<spaces>. If you don't want
to see any I<spaces>, use C<as_string_def_only> instead of C<as_string>.

=item I<$ga>-E<gt>B<as_string_def_only>($chromosome)

Return a string representation of specified chromosome. If I<variable_length> 
is turned off, this function is just alias for C<as_string>. If I<variable_length> 
is turned on and is set to level 2, this function will return a string without
C<undef> values. See example below:

	# -variable_length => 2, -type => 'bitvector'
	
	my $string = $ga->as_string($chromosome);
	# $string looks something like that
	#  ___ ___ ___1___1___0 
	
	$string = $ga->as_string_def_only($chromosome);
	# $string looks something like that
	# 1___1___0 

=item I<$ga>-E<gt>B<as_value>($chromosome)

Return the score of the specified chromosome. The value of I<chromosome> is 
calculated by the fitness function.

=back

=head1 SUPPORT