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package Algorithm::Evolutionary::Simple; |
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61923
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use warnings; |
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use strict; |
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use Carp qw(croak); |
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our $VERSION = '0.1.1'; # SofEA edition |
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use base 'Exporter'; |
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use Sort::Key::Top qw(rnkeytop) ; |
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our @EXPORT_OK= qw( random_chromosome max_ones spin get_pool_roulette_wheel |
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get_pool_binary_tournament |
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produce_offspring mutate crossover single_generation ); |
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# Module implementation here |
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sub random_chromosome { |
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my $length = shift; |
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my $string = ''; |
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for (1..$length) { |
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$string .= (rand >0.5)?1:0; |
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} |
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$string; |
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} |
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sub max_ones { |
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my $str=shift; |
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my $count = 0; |
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while ($str) { |
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$count += chop($str); |
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} |
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$count; |
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} |
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sub get_pool_roulette_wheel { |
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my $population = shift || croak "No population here"; |
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my $fitness_of = shift || croak "need stuff evaluated"; |
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my $need = shift || croak "I need to know the new population size"; |
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my $total_fitness = 0; |
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map( $total_fitness += $fitness_of->{$_} , @$population ); |
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my @wheel = map( $fitness_of->{$_}/$total_fitness, @$population); |
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my @slots = spin( \@wheel, scalar(@$population) ); |
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my @pool; |
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my $index = 0; |
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do { |
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my $p = $index++ % @slots; |
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my $copies = $slots[$p]; |
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for (1..$copies) { |
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push @pool, $population->[$p]; |
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} |
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} while ( @pool < $need ); |
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@pool; |
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} |
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sub get_pool_binary_tournament { |
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my $population = shift || croak "No population here"; |
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my $fitness_of = shift || croak "need stuff evaluated"; |
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my $need = shift || croak "I need to know the new population size"; |
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my $total_fitness = 0; |
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my @pool; |
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my $population_size = @$population; |
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do { |
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my $one = $population->[rand( $population_size )]; |
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my $another = $population->[rand( $population_size )]; |
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if ( $fitness_of->{$one} > $fitness_of->{$another} ) { |
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push @pool, $one; |
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} else { |
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push @pool, $another; |
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} |
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} while ( @pool < $need ); |
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@pool; |
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} |
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sub spin { |
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my ( $wheel, $slots ) = @_; |
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my @slots = map( $_*$slots, @$wheel ); |
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return @slots; |
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} |
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sub produce_offspring { |
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my $pool = shift || croak "Pool missing"; |
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my $offspring_size = shift || croak "Population size needed"; |
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my @population = (); |
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my $population_size = scalar( @$pool ); |
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for ( my $i = 0; $i < $offspring_size/2; $i++ ) { |
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my $first = $pool->[rand($population_size)]; |
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my $second = $pool->[rand($population_size)]; |
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push @population, crossover( $first, $second ); |
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} |
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map( $_ = mutate($_), @population ); |
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return @population; |
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} |
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sub mutate { |
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my $chromosome = shift; |
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my $mutation_point = int(rand( length( $chromosome ))); |
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substr($chromosome, $mutation_point, 1, |
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( substr($chromosome, $mutation_point, 1) eq 1 )?0:1 ); |
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return $chromosome; |
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} |
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sub crossover { |
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my ($chromosome_1, $chromosome_2) = @_; |
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my $length = length( $chromosome_1 ); |
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my $xover_point_1 = int rand( $length - 2 ); |
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my $range = 1 + int rand ( $length - $xover_point_1 ); |
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my $swap_chrom = $chromosome_1; |
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substr($chromosome_1, $xover_point_1, $range, |
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substr($chromosome_2, $xover_point_1, $range) ); |
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substr($chromosome_2, $xover_point_1, $range, |
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substr($swap_chrom, $xover_point_1, $range) ); |
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return ( $chromosome_1, $chromosome_2 ); |
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} |
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sub single_generation { |
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my $population = shift || croak "No population"; |
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my $fitness_of = shift || croak "No fitness"; |
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my $population_size = @{$population}; |
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my @best = rnkeytop { $fitness_of->{$_} } 2 => @$population; # Extract elite |
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my @reproductive_pool = get_pool_roulette_wheel( $population, $fitness_of, $population_size ); # Reproduce |
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my @offspring = produce_offspring( \@reproductive_pool, $population_size - 2 ); #Obtain offspring |
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unshift( @offspring, @best ); #Insert elite at the beginning |
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@offspring; # return |
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} |
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"010101"; # Magic true value required at end of module |
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__END__ |