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use strict; |
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use warnings; |
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=head1 NAME |
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Algorithm::Evolutionary::Op::Permutation - Per-mutation. Got it? |
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=head1 SYNOPSIS |
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use Algorithm::Evolutionary::Op::Permutation; |
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my $op = new Algorithm::Evolutionary::Op::Permutation ; #Create from scratch |
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my $bit_chromosome = new Algorithm::Evolutionary::Individual::BitString 10; |
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$op->apply( $bit_chromosome ); |
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my $priority = 2; |
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my $max_iterations = 100; # Less than 10!, absolute maximum number |
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# of permutations |
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$op = new Algorithm::Evolutionary::Op::Permutation $priority, $max_iterations; |
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my $xmlStr=<
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EOC |
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my $ref = XMLin($xmlStr); |
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my $op = Algorithm::Evolutionary::Op::->fromXML( $ref ); |
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print $op->asXML(), "\n*Arity ->", $op->arity(), "\n"; |
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=head1 Base Class |
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L |
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=head1 DESCRIPTION |
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Class independent permutation operator; any individual that has the |
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C<_str> instance variable (like |
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L and |
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L) will have some |
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of its elements swapped. Each string of length l has l! |
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permutations; the C parameter should not be higher |
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than that. |
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This kind of operator is used extensively in combinatorial |
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optimization problems. See, for instance, |
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@article{prins2004simple, |
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title={{A simple and effective evolutionary algorithm for the vehicle routing problem}}, |
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author={Prins, C.}, |
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journal={Computers \& Operations Research}, |
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volume={31}, |
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number={12}, |
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pages={1985--2002}, |
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issn={0305-0548}, |
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year={2004}, |
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publisher={Elsevier} |
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} |
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And, of course, L, where it is used in the |
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evolutionary algorithms solutions. |
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=cut |
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package Algorithm::Evolutionary::Op::Permutation; |
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use lib qw( ../../.. ); |
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our ($VERSION) = ( '$Revision: 3.7 $ ' =~ /(\d+\.\d+)/ ); |
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use Carp; |
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use Clone qw(clone); |
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use List::Util qw(shuffle); |
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use base 'Algorithm::Evolutionary::Op::Base'; |
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#Class-wide constants |
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our $APPLIESTO = 'Algorithm::Evolutionary::Individual::String'; |
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our $ARITY = 1; |
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=head1 METHODS |
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=head2 new( [$rate = 1][, $max_iterations = 10] ) |
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Creates a new permutation operator; see |
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L for details common to all |
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operators. The chromosome will undergo a random number of at most |
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C<$max_iterations>. By default, it equals 10. |
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=cut |
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sub new { |
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my $class = shift; |
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my $rate = shift || 1; |
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my $self = Algorithm::Evolutionary::Op::Base::new( 'Algorithm::Evolutionary::Op::Permutation', $rate ); |
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return $self; |
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} |
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=head2 create |
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Creates a new mutation operator with an application priority, which |
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defaults to 1. |
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Called create to distinguish from the classwide ctor, new. It just |
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makes simpler to create an Operator |
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=cut |
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sub create { |
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my $class = shift; |
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my $rate = shift || 1; |
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my $self = { rate => $rate, |
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max_iterations => shift || 10 }; |
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bless $self, $class; |
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return $self; |
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} |
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=head2 apply( $chromosome ) |
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Applies at most C permutations to a "Chromosome" that includes the C<_str> |
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instance variable. The number of iterations will be random, so |
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that applications of the operator on the same individual will |
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create diverse offspring. |
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=cut |
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sub apply ($;$) { |
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my $self = shift; |
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my $arg = shift || croak "No victim here!"; |
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my $victim = clone($arg); |
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croak "Incorrect type ".(ref $victim) if ! $self->check( $victim ); |
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my @arr = split("",$victim->{_str}); |
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my $how_many = 2+rand(@arr -1 ); # min two points |
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my @points; |
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my @indices = 0..$#arr; |
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for (1..$how_many) { |
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my $this_point = rand(@indices); |
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push @points, $indices[$this_point]; |
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splice( @indices, $this_point, 1 ); |
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} |
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my @copy_points; |
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do { |
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@copy_points = shuffle(@points ); |
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} while ( $copy_points[0] == $points[0] ); |
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while ( @points ) { |
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my $this_point = shift @points; |
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my $other_point = shift @copy_points ; |
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substr( $victim->{'_str'}, $this_point, 1, $arr[$other_point]); |
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} |
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# my $p = new Algorithm::Permute( \@arr ); |
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# my $iterations = 1+rand($self->{'_max_iterations'}-1); |
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# for (1..$iterations) { |
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# @arr = $p->next; |
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# } |
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# if ( !@arr) { |
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# croak "I broke \@arr $iterations ", $self->{'_max_iterations'}, " ", $victim->{'_str'}, "\n"; |
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# } |
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# if ( join( "", @arr ) eq $arg->{'_str'} ) { |
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# # Check for all equal |
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# my %letters; |
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# map( $letters{$_}=1, @arr ); |
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# if ( scalar keys %letters > 1) { |
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# $p->reset; # We are looking for anything different, after all |
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# do { |
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# @arr = $p->next; |
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# } until ( join( "", @arr ) ne $arg->{'_str'} ); |
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# # print "Vaya tela $iterations ", $self->{'_max_iterations'}, " ", $victim->{'_str'}, "\n"; |
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# # print $victim->{'_str'}, "\n"; |
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# } |
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# } |
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# if ( !@arr) { |
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# croak "Gosh $iterations ", $self->{'_max_iterations'}, " ", $victim->{'_str'}, "\n"; |
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# } |
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return $victim; |
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} |
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=head2 SEE ALSO |
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Uses L, which is purported to be the fastest |
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permutation library around. Might change it in the future to |
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L, which is much more comprehensive. |
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=head1 Copyright |
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This file is released under the GPL. See the LICENSE file included in this distribution, |
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or go to http://www.fsf.org/licenses/gpl.txt |
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CVS Info: $Date: 2013/01/09 07:22:50 $ |
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$Header: /media/Backup/Repos/opeal/opeal/Algorithm-Evolutionary/lib/Algorithm/Evolutionary/Op/Permutation.pm,v 3.7 2013/01/09 07:22:50 jmerelo Exp $ |
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$Author: jmerelo $ |
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$Revision: 3.7 $ |
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=cut |
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