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Samples/PSOPlatTest.pl  view on Meta::CPAN

#!/usr/bin/perl
use strict;
use warnings;
use lib '..\lib';    # For development testing
use AI::ParticleSwarmOptimization;
use Math::Random::MT qw();

++$|;
my $pso = AI::ParticleSwarmOptimization->new (
    -fitFunc           => \&calcFit,
    -dimensions        => 3,
    -iterations        => 500,
    -exitPlateau       => 1,
    -exitPlateauDP     => 3,

Samples/PSOTest.pl  view on Meta::CPAN

#!/usr/bin/perl
use strict;
use warnings;
use lib '..\lib'; # For development testing
use AI::ParticleSwarmOptimization;

++$|;
my $pso = AI::ParticleSwarmOptimization->new ();

$pso->setParams (
    -fitFunc    => \&calcFit,
    -dimensions => 3,
    -iterations => 100,
    );

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

Maximum coordinate value for any dimension in the hyper space. Defaults to 100.

=item I<-posMin>: number, optional

Minimum coordinate value for any dimension in the hyper space. Defaults to
-I<-posMax> (if I<-posMax> is negative I<-posMin> should be set more negative).

=item I<-randSeed>: number, optional

Seed for the random number generator. Useful if you want to rerun an
optimization, perhaps for benchmarking or test purposes.

=item I<-randStartVelocity>: boolean, optional

Set true to initialize particles with a random velocity. Otherwise particle
velocity is set to 0 on initalization.

A range based on 1/100th of -I<-posMax> - I<-posMin> is used for the initial
speed in each dimension of the velocity vector if a random start velocity is
used.