Algorithm::Evolutionary::Fitness::String - Base class for string-based fitness functors River stage zero No dependents

Base class for fitness functions applied to string-based chromosomes; extracts common code, and saves time. Provides a hash called %cache to be used as a, well, cache for evaluations. Assumes it's using the "_str" instance variable of the chromosome...

JMERELO/Algorithm-Evolutionary-Fitness-v3.102 - 22 Mar 2016 19:19:48 GMT

Algorithm::Evolutionary::Fitness::String - Base class for string-based fitness functors River stage one • 3 direct dependents • 4 total dependents

Base class for fitness functions applied to string-based chromosomes; extracts common code, and saves time. Provides a hash called %cache to be used as a, well, cache for evaluations. Assumes it's using the "_str" instance variable of the chromosome...

JMERELO/Algorithm-Evolutionary-0.80 - 31 Oct 2014 07:18:32 GMT

Algorithm::Evolve - An extensible and generic framework for executing evolutionary algorithms River stage zero No dependents

This module is intended to be a useful tool for quick and easy implementation of evolutionary algorithms. It aims to be flexible, yet simple. For this reason, it is not a comprehensive implementation of all possible evolutionary algorithm configurati...

ROSULEK/Algorithm-Evolve-0.03 - 27 May 2003 23:11:03 GMT

Algorithm::Evolutionary::Fitness::Trap - 'Trap' fitness function for evolutionary algorithms River stage one • 3 direct dependents • 4 total dependents

Trap function act as "yucky" or deceptive for evolutionary algorithms; they "trap" population into going to easier, but local, optima....

JMERELO/Algorithm-Evolutionary-0.80 - 31 Oct 2014 07:18:32 GMT

Algorithm::Evolutionary::Fitness::Trap - 'Trap' fitness function for evolutionary algorithms River stage zero No dependents

Trap function act as "yucky" or deceptive for evolutionary algorithms; they "trap" population into going to easier, but local, optima....

JMERELO/Algorithm-Evolutionary-Fitness-v3.102 - 22 Mar 2016 19:19:48 GMT

Algorithm::Evolutionary::Fitness - Base class for fitness functions River stage zero No dependents

This module includes functionality that should be common to all fitness functions. Or at least it would be nice to have it in common. It counts the number of evaluations and includes a common API for caching evaluations....

JMERELO/Algorithm-Evolutionary-Fitness-v3.102 - 22 Mar 2016 19:19:48 GMT

Algorithm::Evolve::Util - Some useful utility functions for use in evolutionary algorithms. River stage zero No dependents

ROSULEK/Algorithm-Evolve-0.03 - 27 May 2003 23:11:03 GMT

Algorithm::MasterMind::EvoRank - Evolutionary algorithm with the partition method and ranked fitness, prepared for GECCO 2010 River stage zero No dependents

The partition method was introduced in a 2010 paper, and then changed by Runarsson and Merelo to incorporate it in the genetic search. It was prepared for a conference paper, this one: @INPROCEEDINGS{mm:cig, author={Merelo, J.J. and Mora, A.M. and Ru...

JMERELO/Algorithm-MasterMind-v0.4.5 - 19 Jul 2012 18:06:25 GMT

Algorithm::MasterMind::Evo - New evolutionary algorithms solving MM - Evo* version River stage zero No dependents

This algorithm is a new evolutionary algorithm that includes EndGames and also using Most Parts score for evolving solutions to Mastermind. I was introduced in "Improving and Scaling Evolutionary Approaches to the MasterMind Problem", by Merelo, Cott...

JMERELO/Algorithm-MasterMind-v0.4.5 - 19 Jul 2012 18:06:25 GMT

Algorithm::MasterMind - Framework for algorithms that solve the MasterMind game River stage zero No dependents

Includes common functions used in Mastermind solvers; it should not be used directly, but from derived classes. See examples in Algorithm::MasterMind::Random, for instance....

JMERELO/Algorithm-MasterMind-v0.4.5 - 19 Jul 2012 18:06:25 GMT

Algorithm::MasterMind::EDA - Solver using an Estimation of Distribution Algorithm River stage zero No dependents

Uses Algorithm::Evolutionary instance of EDAs to solve MM; as there are two different fitness functions you can use; probably "fitness_orig" works better....

JMERELO/Algorithm-MasterMind-v0.4.5 - 19 Jul 2012 18:06:25 GMT

Algorithm::Evolutionary::Fitness::Base - Base class for fitness functions River stage one • 3 direct dependents • 4 total dependents

This module includes functionality that should be common to all fitness. Or at least it would be nice to have it in common. It counts the number of evaluations and includes a common API for caching evaluations....

JMERELO/Algorithm-Evolutionary-0.80 - 31 Oct 2014 07:18:32 GMT

Algorithm::MasterMind::MOGA - Solver using an Estimation of Distribution Algorithm River stage zero No dependents

Uses Algorithm::Evolutionary instance of MOGAs to solve MM; as there are two different fitness functions you can use; probably "fitness_orig" works better....

JMERELO/Algorithm-MasterMind-v0.4.5 - 19 Jul 2012 18:06:25 GMT

Algorithm::Evolutionary::Utils - Collection of functions used in all kind of evolutionary algorithms.. River stage one • 1 direct dependent • 1 total dependent

Miscellaneous class that contains functions that might be useful somewhere else, especially when computing EA statistics....

JMERELO/Algorithm-Evolutionary-Utils-4.00.00 - 08 Feb 2018 08:45:34 GMT

Algorithm::Evolutionary::Simple - Run a simple, canonical evolutionary algorithm in Perl River stage zero No dependents

Assorted functions needed by an evolutionary algorithm, mainly for demos and simple clients....

JMERELO/Algorithm-Evolutionary-Simple-0.3 - 17 Aug 2017 09:02:37 GMT

Algorithm::MasterMind::Secret - Minimal framework for MM secrets River stage zero No dependents

Basically a string and a hash, caches the string in a hash so that it is faster to check against it in mastermind. This class is heavily optimized for speed, which might result in some inconvenients....

JMERELO/Algorithm-MasterMind-v0.4.5 - 19 Jul 2012 18:06:25 GMT

Algorithm::Evolutionary::Utils - Container module with a hodgepodge of functions River stage one • 3 direct dependents • 4 total dependents

Miscellaneous class that contains functions that might be useful somewhere else, especially when computing EA statistics....

JMERELO/Algorithm-Evolutionary-0.80 - 31 Oct 2014 07:18:32 GMT

Algorithm::MasterMind::EDA_Partitions - Solver using an EDA plus partitions River stage zero No dependents

Uses Algorithm::Evolutionary instance of EDAs to solve MM; as there are two different fitness functions you can use; probably "fitness_orig" works better....

JMERELO/Algorithm-MasterMind-v0.4.5 - 19 Jul 2012 18:06:25 GMT

Algorithm::MasterMind::CGA_Partitions - Solver using a Canonical GA River stage zero No dependents

Uses Algorithm::Evolutionary instance of canonical genetic algorithm to solve MM; as there are two different fitness functions you can use; probably "fitness_orig" works better....

JMERELO/Algorithm-MasterMind-v0.4.5 - 19 Jul 2012 18:06:25 GMT

Algorithm::Evolutionary::Fitness::ECC - Error Correcting codes problem generator River stage zero No dependents

Extracted from article "Effects of scale-free and small-world topologies on binary coded self-adaptive CEA", by Giacobini et al [Ga]. Quoting: " The ECC problem was presented in [MW]. We will consider a three-tuple (n, M, d), where n is the length of...

JMERELO/Algorithm-Evolutionary-Fitness-v3.102 - 22 Mar 2016 19:19:48 GMT

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