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AI-SimulatedAnnealing

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    <title>AI::SimulatedAnnealing &#8211; optimize a list of numbers
      according to a specified cost function.</title>
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    <ul>
      <li><a href="#name">NAME</a></li>
      <li><a href="#synopsis">SYNOPSIS</a></li>
      <li><a href="#description">DESCRIPTION</a></li>
      <li><a href="#prerequisites">PREREQUISITES</a></li>
      <li><a href="#methods">METHODS</a></li>
      <li><a href="#author">AUTHOR</a></li>

lib/AI/SimulatedAnnealing.pm view on Meta::CPAN

# Copyright 2010 by Benjamin Fitch.
#
# This library is free software; you can redistribute it and/or modify it
# under the same terms as Perl itself.
####
package AI::SimulatedAnnealing;

use 5.010001;
use strict;
use warnings;
use utf8;

use English "-no_match_vars";
use Hash::Util ("lock_keys");
use List::Util ("first", "max", "min", "sum");
use POSIX ("ceil", "floor");
use Scalar::Util ("looks_like_number");

use Exporter;

# Version:

t/annealing_tests.t view on Meta::CPAN

####
# annealing_tests.t:  Test the AI::SimulatedAnnealing module.
#
# Usage:
#
#     perl -w annealing_tests.t market_distances.csv
####
use 5.010001;
use strict;
use warnings;
use utf8;

use English "-no_match_vars";
use List::Util ("max", "min");

use AI::SimulatedAnnealing;
use Text::BSV::BsvFileReader;

# Probability enumeration:
package Probability;

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