Algorithm-MasterMind v0.4.0 Deleted
Kwalitee Issues
No Core Issues.
- meta_yml_declares_perl_version
-
If you are using Build.PL define the {requires}{perl} = VERSION field. If you are using MakeMaker (Makefile.PL) you should upgrade ExtUtils::MakeMaker to 6.48 and use MIN_PERL_VERSION parameter. Perl::MinimumVersion can help you determine which version of Perl your module needs.
- has_meta_json
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Add a META.json to the distribution. Your buildtool should be able to autogenerate it.
- consistent_version
-
Split the distribution, or fix the version numbers to make them consistent (use the highest version number to avoid version downgrade).
Error: 0.004000,1.001,1.002,1.003,1.004,1.006,1.008,1.013,1.015
- meta_yml_has_provides
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Add all modules contained in this distribution to the META.yml field 'provides'. Module::Build or Dist::Zilla::Plugin::MetaProvides do this automatically for you.
- meta_yml_has_repository_resource
-
Add a 'repository' resource to the META.yml via 'meta_add' accessor (for Module::Build) or META_ADD parameter (for ExtUtils::MakeMaker).
- has_separate_license_file
-
This is not a critical issue. Currently mainly informative for the CPANTS authors. It might be removed later.
Modules
Name | Abstract | Version | View |
---|---|---|---|
Algorithm::MasterMind | Framework for algorithms that solve the MasterMind game | 0.004000 | metacpan |
Algorithm::MasterMind::CGA_Partitions | Solver using a Canonical GA | 1.003 | metacpan |
Algorithm::MasterMind::Canonical_GA | Tries to compute new solution from last | 1.001 | metacpan |
Algorithm::MasterMind::EDA | Solver using an Estimation of Distribution Algorithm | 1.013 | metacpan |
Algorithm::MasterMind::EDA_Partitions | Solver using an EDA plus partitions | 1.003 | metacpan |
Algorithm::MasterMind::Evo | New evolutionary algorithms solving MM - Evo* version | 1.013 | metacpan |
Algorithm::MasterMind::EvoRank | Evolutionary algorithm with the partition method and ranked fitness, prepared for GECCO 2010 | 1.015 | metacpan |
Algorithm::MasterMind::EvoRank_End_Games | Adding end_games (tricks) for making a faster exploration of the solutions space | 1.008 | metacpan |
Algorithm::MasterMind::Evolutionary | Tries to compute new solution from last | 1.008 | metacpan |
Algorithm::MasterMind::Evolutionary_Base | Base class for evolutionary-based algorithms | 1.013 | metacpan |
Algorithm::MasterMind::Evolutionary_MO | Tries to compute new solution from last | 1.001 | metacpan |
Algorithm::MasterMind::Evolutionary_Partitions | Evolutionary algorithm with the partition method | 1.006 | metacpan |
Algorithm::MasterMind::Generational_Partitions | Skeleton class for generational population based algorithms, such as EDAs or EAs. | 1.003 | metacpan |
Algorithm::MasterMind::MOGA | Solver using an Estimation of Distribution Algorithm | 1.008 | metacpan |
Algorithm::MasterMind::Partition_Worst | Plays by Knuth's playbook | 1.003 | metacpan |
Algorithm::MasterMind::Random | Plays random consistent combinations | 1.002 | metacpan |
Algorithm::MasterMind::Sequential | Tests each combination in turn. | 1.006 | metacpan |
Algorithm::MasterMind::Sequential_Alt | Tests each combination in turn, alternating with the beginning and end of the sequence. | 1.003 | metacpan |
Algorithm::MasterMind::Test | Mock class used for testing algorithms by hand | 1.004 | metacpan |
Algorithm::MasterMind::Test_Solver | Utility functions for testing solvers | 1.004 | metacpan |