AI-ParticleSwarmOptimization
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},
"name" : "AI-ParticleSwarmOptimization",
"no_index" : {
"directory" : [
"t",
"inc"
]
},
"prereqs" : {
"build" : {
"requires" : {
"ExtUtils::MakeMaker" : 0
}
},
"configure" : {
"requires" : {
"ExtUtils::MakeMaker" : 0
}
},
"runtime" : {
"requires" : {
"Math::Random::MT" : 0
}
}
},
"release_status" : "stable",
"version" : "1.006"
}
---
abstract: 'OO Perl implementation of Particle Swarm Optimization'
author:
- 'Peter Jaquiery (grandpa@cpan.org)'
build_requires:
ExtUtils::MakeMaker: 0
configure_requires:
ExtUtils::MakeMaker: 0
dynamic_config: 1
generated_by: 'ExtUtils::MakeMaker version 6.58, CPAN::Meta::Converter version 2.110930001'
license: perl
meta-spec:
url: http://module-build.sourceforge.net/META-spec-v1.4.html
version: 1.4
name: AI-ParticleSwarmOptimization
no_index:
directory:
- t
- inc
requires:
Math::Random::MT: 0
version: 1.006
lib/AI/ParticleSwarmOptimization.pm view on Meta::CPAN
=head1 Description
The Particle Swarm Optimization technique uses communication of the current best
position found between a number of particles moving over a hyper surface as a
technique for locating the best location on the surface (where 'best' is the
minimum of some fitness function). For a Wikipedia discussion of PSO see
http://en.wikipedia.org/wiki/Particle_swarm_optimization.
This pure Perl module is an implementation of the Particle Swarm Optimization
technique for finding minima of hyper surfaces. It presents an object oriented
interface that facilitates easy configuration of the optimization parameters and
(in principle) allows the creation of derived classes to reimplement all aspects
of the optimization engine (a future version will describe the replaceable
engine components).
This implementation allows communication of a local best point between a
selected number of neighbours. It does not support a single global best position
that is known to all particles in the swarm.
=head1 Methods
lib/AI/ParticleSwarmOptimization.pm view on Meta::CPAN
);
...
sub calcFit {
my ($context, @values) = @_;
...
return $fitness;
}
In addition to any user provided parameters the list of values representing the
current particle position in the hyperspace is passed in. There is one value per
hyperspace dimension.
=item I<-inertia>: positive or zero number, optional
Determines what proportion of the previous velocity is carried forward to the
next iteration. Defaults to 0.9
See also I<-meWeight> and I<-themWeight>.
lib/AI/ParticleSwarmOptimization.pm view on Meta::CPAN
=over 4
=item * kLogBetter
prints particle details when its fit becomes bebtter than its previous best.
=item * kLogStall
prints particle details when its velocity reaches 0 or falls below the stall
threshold.
=item * kLogIter
Shows the current iteration number.
=item * kLogDetail
Shows additional details for some of the other logging options.
=item * kLogIterDetail
lib/AI/ParticleSwarmOptimization.pm view on Meta::CPAN
I<-exitFit> criteria has been met or where multiple calls to I<optimize> have
been made.
=back
=head1 BUGS
Please report any bugs or feature requests to C<bug-AI-ParticleSwarmOptimization
at rt.cpan.org>, or through the web interface at
L<http://rt.cpan.org/NoAuth/ReportBug.html?Queue=AI-ParticleSwarmOptimization>.
I will be notified, and then you'll automatically be notified of progress on
your bug as I make changes.
=head1 SUPPORT
This module is supported by the author through CPAN. The following links may be
of assistance:
=over 4
=item * AnnoCPAN: Annotated CPAN documentation
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