AI-ParticleSwarmOptimization-Pmap
view release on metacpan or search on metacpan
lib/AI/ParticleSwarmOptimization/Pmap.pm view on Meta::CPAN
Defaults to undefined (option disabled).
=item I<-exitPlateauDP>: number, optional
Specify the number of decimal places to compare between the current fitness
function value and the mean of the previous I<-exitPlateauWindow> values.
Defaults to 10.
=item I<-exitPlateauWindow>: number, optional
Specify the size of the window used to calculate the mean for comparison to
the current output of the fitness function. Correlates to the minimum size of a
plateau needed to end the optimization.
Defaults to 10% of the number of iterations (I<-iterations>).
=item I<-exitPlateauBurnin>: number, optional
Determines how many iterations to run before checking for plateaus.
Defaults to 50% of the number of iterations (I<-iterations>).
=item I<-verbose>: flags, optional
If set to a non-zero value I<-verbose> determines the level of diagnostic print
reporting that is generated during optimization.
The following constants may be bitwise ored together to set logging options:
=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
Shorthand for C<kLogIter | kLogIterDetail>
=back
=back
=item B<setParams (%parameters)>
Set or change optimization parameters. See I<-new> above for a description of
the parameters that may be supplied.
=item B<init ()>
Reinitialize the optimization. B<init ()> will be called during the first call
to B<optimize ()> if it hasn't already been called.
=item B<optimize ()>
Runs the minimization optimization. Returns the fit value of the best fit
found. The best possible fit is negative infinity.
B<optimize ()> may be called repeatedly to continue the fitting process. The fit
processing on each subsequent call will continue from where the last call left
off.
=item B<getParticleState ()>
Returns the vector of position
=item B<getBestParticles ([$n])>
Takes an optional count.
Returns a list containing the best $n particle numbers. If $n is not specified
only the best particle number is returned.
=item B<getParticleBestPos ($particleNum)>
Returns a list containing the best value of the fit and the vector of its point
in hyper space.
my ($fit, @vector) = $pso->getParticleBestPos (3)
=item B<getIterationCount ()>
Return the number of iterations performed. This may be useful when the
I<-exitFit> criteria has been met or where multiple calls to I<optimize> have
been made.
=back
=head1 BUGS
None... I hope.
If any: A small script which yields the problem will probably be of help.
=head1 SEE ALSO
http://en.wikipedia.org/wiki/Particle_swarm_optimization
=head1 AUTHOR
Strzelecki Lukasz <lukasz@strzeleccy.eu>
=head1 SEE ALSO
L<AI::ParticleSwarmOptimization>
L<AI::ParticleSwarmOptimization::Pmap>
( run in 1.208 second using v1.01-cache-2.11-cpan-59e3e3084b8 )