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NAMEAlgorithm::Evolutionary::Op::Easy - evolutionary algorithm, single
generation, with
SYNOPSIS my $easy_EA = new Algorithm::Evolutionary::Op::Easy $fitness_func;
for ( my $i = 0; $i < $max_generations; $i++ ) {
print "<", "="x 20, "Generation $i", "="x 20, ">\n";
$easy_EA->apply(\@pop );
for ( @pop ) {
print $_->asString, "\n";
}
}
#Define a default algorithm with predefined evaluation function,
#Mutation and crossover. Default selection rate is 0.4
my $algo = new Algorithm::Evolutionary::Op::Easy( $eval );
#Define an easy single-generation algorithm with predefined mutation and crossover
my $m = new Algorithm::Evolutionary::Op::Bitflip; #Changes a single bit
my $c = new Algorithm::Evolutionary::Op::Crossover; #Classical 2-point crossover
my $generation = new Algorithm::Evolutionary::Op::Easy( $rr, 0.2, [$m, $c] );
Base ClassAlgorithm::Evolutionary::Op::Base DESCRIPTION"Easy" to use, single generation of an evolutionary algorithm. Takes an arrayref of operators as input, or defines bitflip-mutation and 2-point crossover as default. The "apply" method applies a single iteration of the algorithm to the population it takes as input METHODSnew( $eval_func, [$operators_arrayref] )Creates an algorithm that optimizes the handled fitness function and reference to an array of operators. If this reference is null, an array consisting of bitflip mutation and 2 point crossover is generated. Which, of course, might not what you need in case you don't have a binary chromosome. set( $hashref, codehash, opshash )Sets the instance variables. Takes a ref-to-hash (for options), codehash (for fitness) and opshash (for operators) apply( $population )Applies the algorithm to the population; checks that it receives a ref-to-array as input, croaks if it does not. Returns a sorted, culled, evaluated population for next generation. SEE ALSOAlgorithm::Evolutionary::Op::CanonicalGA. Algorithm::Evolutionary::Op::FullAlgorithm. CopyrightThis file is released under the GPL. See the LICENSE file included in this distribution, or go to http://www.fsf.org/licenses/gpl.txt
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