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Search results for "module:Algorithm::Evolutionary::Fitness::Any"

Algorithm::Evolutionary::Fitness::Any - Façade for any function so that it can be used as fitness River stage zero No dependents

Turns any subroutine or closure into a fitness function. Useful mainly if you want results cached; it's not really needed otherwise....

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

Algorithm::Evolutionary::Fitness::Any - Façade for any function so that it can be used as fitness River stage one • 3 direct dependents • 4 total dependents

Turns any subroutine or closure into a fitness function. Useful mainly if you want results cached; it's not really needed otherwise....

JMERELO/Algorithm-Evolutionary-0.82.1 - 29 Mar 2021 11:30:17 UTC

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 UTC

Algorithm::Evolutionary - Perl module for performing paradigm-free evolutionary algorithms. River stage one • 3 direct dependents • 4 total dependents

"Algorithm::Evolutionary" is a set of classes for doing object-oriented evolutionary computation in Perl. Why would anyone want to do that escapes my knowledge, but, in fact, we have found it quite useful for our own purposes. Same as Perl itself. Th...

JMERELO/Algorithm-Evolutionary-0.82.1 - 29 Mar 2021 11:30:17 UTC

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 UTC

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 UTC

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 UTC

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 UTC

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 UTC

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 UTC

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 UTC

Algorithm::MasterMind::Evolutionary - Tries to compute new solution from last River stage zero No dependents

Mainly used in test functions, and as a way of instantiating base class....

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

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 UTC

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 UTC

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 UTC

Algorithm::Evolutionary::Fitness::ECC - Error Correcting codes problem generator River stage one • 3 direct dependents • 4 total 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-0.82.1 - 29 Mar 2021 11:30:17 UTC

POE::Component::Algorithm::Evolutionary - Run evolutionary algorithms in a preemptive multitasking way. River stage one • 1 direct dependent • 1 total dependent

Not a lot here: it creates a component that uses POE to run an evolutionary algorithm...

JMERELO/POE-Component-Algorithm-Evolutionary-0.2.1 - 21 Feb 2009 12:55:08 UTC

Algorithm::MasterMind::Evolutionary_Base - Base class for evolutionary-based algorithms River stage zero No dependents

Base class with some default functions for evolutionary algorithm based classes....

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

Algorithm::Evolutionary::Op::CanonicalGA - Canonical Genetic Algorithm, with any representation River stage one • 3 direct dependents • 4 total dependents

The canonical classical genetic algorithm evolves a population of bitstrings until they reach the optimum fitness. It performs mutation on the bitstrings by flipping a single bit, crossover interchanges a part of the two parents. The first operator s...

JMERELO/Algorithm-Evolutionary-0.82.1 - 29 Mar 2021 11:30:17 UTC

Algorithm::Evolutionary::Individual::Any - Wrapper around any Perl data structure, turns it into a Chromosome River stage one • 3 direct dependents • 4 total dependents

Bitstring Individual for a Genetic Algorithm. Used, for instance, in a canonical GA. That does not mean it can be used for mutation or crossover; normally you'll have to write your own classes...

JMERELO/Algorithm-Evolutionary-0.82.1 - 29 Mar 2021 11:30:17 UTC
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