AI-ParticleSwarmOptimization-MCE
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example/PSOTest-MultiCore.pl view on Meta::CPAN
#!/usr/bin/perl
use strict;
use warnings;
use lib '../lib/';
#-----------------------------------------------------------------------
#use AI::ParticleSwarmOptimization;
use AI::ParticleSwarmOptimization::MCE;
#use AI::ParticleSwarmOptimization::Pmap;
use Data::Dumper; $::Data::Dumper::Sortkeys = 1;
#=======================================================================
sub calcFit {
my @values = @_;
my $offset = int (-@values / 2);
my $sum;
select( undef, undef, undef, 0.01 ); # Simulation of heavy processing...
$sum += ($_ - $offset++) ** 2 for @values;
return $sum;
}
#=======================================================================
++$|;
#-----------------------------------------------------------------------
#my $pso = AI::ParticleSwarmOptimization::Pmap->new( # Multi-core
my $pso = AI::ParticleSwarmOptimization::MCE->new( # Multi-core
#my $pso = AI::ParticleSwarmOptimization->new( # Single-core
-fitFunc => \&calcFit,
-dimensions => 10,
-iterations => 10,
-numParticles => 1000,
# only for many-core version # the best if == $#cores of your system
# selecting best value if undefined
-workers => 4,
);
my $beg = time;
$pso->init();
my $fitValue = $pso->optimize ();
my ( $best ) = $pso->getBestParticles (1);
my ( $fit, @values ) = $pso->getParticleBestPos ($best);
my $iters = $pso->getIterationCount();
printf "Fit %.4f at (%s) after %d iterations\n", $fit, join (', ', map {sprintf '%.4f', $_} @values), $iters;
warn "\nTime: ", time - $beg, "\n\n";
#=======================================================================
exit 0;
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