AI-ParticleSwarmOptimization-MCE

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README  view on Meta::CPAN

    new (%parameters)

      Create an optimization object. The following parameters may be used:

      -workers: positive number, optional

	The number of workers (processes), that will be used during
	computations.

      -dimensions: positive number, required

	The number of dimensions of the hypersurface being searched.

      -exitFit: number, optional

	If provided -exitFit allows early termination of optimize if the
	fitness value becomes equal or less than -exitFit.

      -fitFunc: required

	-fitFunc is a reference to the fitness function used by the search.
	If extra parameters need to be passed to the fitness function an
	array ref may be used with the code ref as the first array element
	and parameters to be passed into the fitness function as following
	elements. User provided parameters are passed as the first
	parameters to the fitness function when it is called:

            my $pso = AI::ParticleSwarmOptimization::MCE->new(
                -fitFunc    => [\&calcFit, $context],

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

=item new (%parameters)

Create an optimization object. The following parameters may be used:

=over 4

=item I<-workers>: positive number, optional

The number of workers (processes), that will be used during computations. 

=item I<-dimensions>: positive number, required

The number of dimensions of the hypersurface being searched.

=item I<-exitFit>: number, optional

If provided I<-exitFit> allows early termination of optimize if the
fitness value becomes equal or less than I<-exitFit>.

=item I<-fitFunc>: required

I<-fitFunc> is a reference to the fitness function used by the search. If extra
parameters need to be passed to the fitness function an array ref may be used
with the code ref as the first array element and parameters to be passed into
the fitness function as following elements. User provided parameters are passed
as the first parameters to the fitness function when it is called:

    my $pso = AI::ParticleSwarmOptimization::MCE->new(
        -fitFunc    => [\&calcFit, $context],
        -dimensions => 3,