AI-ParticleSwarmOptimization

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Samples/PSOPlatTest.pl  view on Meta::CPAN

$pso->init ();

my $fitValue = $pso->optimize ();
my ($best) = $pso->getBestParticles (1);
my ($fit, @values) = $pso->getParticleBestPos ($best);
my $iters = $pso->getIterationCount ();
print $pso->getSeed();

printf ",# Fit %.5f at (%s) after %d iterations\n",
    $fit, join (', ', map {sprintf '%.4f', $_} @values), $iters;


sub calcFit {
    my @values = @_;
    my $offset = int (-@values / 2);
    my $sum;

    $sum += ($_ - $offset++)**2 for @values;
    return $sum;
}

Samples/PSOTest.pl  view on Meta::CPAN

for (0 .. 9) {
    $pso->init () unless $_ % 5;

    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;
}


sub calcFit {
    my @values = @_;
    my $offset = int (-@values / 2);
    my $sum;

    $sum += ($_ - $offset++) ** 2 for @values;
    return $sum;

lib/AI/ParticleSwarmOptimization.pm  view on Meta::CPAN

        randStartVelocity
        stallSpeed
        themWeight
        verbose
        /;

    die "-dimensions must be greater than 0\n"
        if exists $params{-dimensions} && $params{-dimensions} <= 0;

    if (defined $self->{verbose} and 'ARRAY' eq ref $self->{verbose}) {
        my @log = map {lc} @{$self->{verbose}};
        my %logTypes = (
            better => kLogBetter,
            stall  => kLogStall,
            iter   => kLogIter,
            detail => kLogDetail,
        );

        $self->{verbose} = 0;
        exists $logTypes{$_} and $self->{verbose} |= $logTypes{$_} for @log;
    }

lib/AI/ParticleSwarmOptimization.pm  view on Meta::CPAN

            # Save position - best fit for this particle so far
            $self->_saveBest ($prtcl, $fit, $iter);
        }

        return $fit if defined $self->{exitFit} and $fit < $self->{exitFit};
        next if !($self->{verbose} & kLogIterDetail);

        printf "Part %3d fit %8.2f", $prtcl->{id}, $fit
            if $self->{verbose} >= 2;
        printf " (%s @ %s)",
            join (', ', map {sprintf '%5.3f', $_} @{$prtcl->{velocity}}),
            join (', ', map {sprintf '%5.2f', $_} @{$prtcl->{currPos}})
            if $self->{verbose} & kLogDetail;
        print "\n";
    }

    return undef;
}


sub _saveBest {
    my ($self, $prtcl, $fit, $iter) = @_;

lib/AI/ParticleSwarmOptimization.pm  view on Meta::CPAN

    my $pso = AI::ParticleSwarmOptimization->new (
        fitFunc    => \&calcFit,
        dimensions => 3,
        );
    my $fitValue       = $pso->optimize ();
    my ($best)         = $pso->getBestParticles (1);
    my ($fit, @values) = $pso->getParticleBestPos ($best);

    printf "Fit %.4f at (%s)\n",
        $fit, join ', ', map {sprintf '%.4f', $_} @values;


    sub calcFit {
        my @values = @_;
        my $offset = int (-@values / 2);
        my $sum;

        $sum += ($_ - $offset++) ** 2 for @values;
        return $sum;
    }