Algorithm::Evolutionary::Run Class for setting up an experiment with algorithms and population
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Algorithm::Evolutionary::Run Tags

Perl module perl population algorithms evolutionary algorithms

Algorithm::Evolutionary::Run Description

Class for setting up an experiment with algorithms and population Algorithm::Evolutionary::Run is a Perl class for setting up an experiment with algorithms and population.SYNOPSIS use Algorithm::Evolutionary::Run; my $algorithm = new Algorithm::Evolutionary::Run 'conf.yaml'; #or my $conf = { 'fitness' => { 'class' => 'MMDP' }, 'crossover' => { 'priority' => '3', 'points' => '2' }, 'max_generations' => '1000', 'mutation' => { 'priority' => '2', 'rate' => '0.1' }, 'length' => '120', 'max_fitness' => '20', 'pop_size' => '1024', 'selection_rate' => '0.1' }; my $algorithm = new Algorithm::Evolutionary::Run $conf; #Run it to the end $algorithm->run(); #Print results $algorithm->results(); #A single step $algorithm->step();This is a no-fuss class to have everything needed to run an algorithm in a single place, although for the time being it's reduced to fitness functions in the A::E::F namespace, and binary strings. Mostly for demo purposes, but can be an example of class for other stuff. Requirements: · Perl

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