The Perl Toolchain Summit needs more sponsors. If your company depends on Perl, please support this very important event.
 / 
Algorithm-Evolutionary-0.62
River stage one • 3 direct dependents • 4 total dependents
2 ++

Changes for version 0.62

  • Added new fitness functions.
  • 2008-06-26 Juan Julián Merelo Guervós <jmerelo@geneura.ugr.es>

Documentation

XML
Syntax and semantics of the XML files used in OPEAL

Modules

Algorithm::Evolutionary
Perl extension for performing paradigm-free evolutionary algorithms.
Algorithm::Evolutionary::Experiment
Class for setting up an experiment with algorithms and population
Algorithm::Evolutionary::Fitness::Base
Base class for Fitness functions
Algorithm::Evolutionary::Fitness::ECC
Error Correcting codes problem generator
Algorithm::Evolutionary::Fitness::Knapsack
Fitness function for the knapsack problem
Algorithm::Evolutionary::Fitness::MMDP
Massively Multimodal Deceptive Problem
Algorithm::Evolutionary::Fitness::ONEMAX
Fitness function for the ONEMAX or count-ones problem
Algorithm::Evolutionary::Fitness::P_Peaks
P Peaks problem generator
Algorithm::Evolutionary::Fitness::Royal_Road
Mitchell's Royal Road function
Algorithm::Evolutionary::Fitness::String
Base class for string-based fitness functors
Algorithm::Evolutionary::Fitness::wP_Peaks
wP Peaks problem generator - weighted version of P_Peaks
Algorithm::Evolutionary::Individual::Base
Base class for chromosomes that knows how to build them, and has some helper methods.
Algorithm::Evolutionary::Individual::BitString
Classic bitstring individual for evolutionary computation; usually called chromosome
Algorithm::Evolutionary::Individual::Bit_Vector
Classic bitstring individual for evolutionary computation; usually called chromosome, and using a different implementation from Algorithm::Evolutionary::Individual::BitString
Algorithm::Evolutionary::Individual::String
A character string to be evolved. Useful mainly in word games
Algorithm::Evolutionary::Individual::Tree
A Direct Acyclic Graph, or tree, useful for Genetic Programming-Style stuff
Algorithm::Evolutionary::Individual::Vector
Array as an individual for evolutionary computation
Algorithm::Evolutionary::Op::ArithCrossover
Arithmetic crossover operator; performs the average of the n parents crossed
Algorithm::Evolutionary::Op::Base
Base class for OPEAL operators; operators are any object with the "apply" method, which does things to individuals or populations.
Algorithm::Evolutionary::Op::Bitflip
Bit-flip mutation
Algorithm::Evolutionary::Op::CX
Algorithm::Evolutionary::Op::CanonicalGA
Canonical Genetic Algorithm, with any representation
Algorithm::Evolutionary::Op::ChangeLengthMutation
Increases/decreases by one the length of the string
Algorithm::Evolutionary::Op::Creator
Operator that generates groups of individuals, of the intended class
Algorithm::Evolutionary::Op::Crossover
n-point crossover operator; puts a part of the second operand into the first operand; can be 1 or 2 points.
Algorithm::Evolutionary::Op::DeltaTerm
Termination condition for an algorithm; checks that the difference of the best to a target is less than a delta
Algorithm::Evolutionary::Op::Easy
evolutionary algorithm, single generation, with variable operators.
Algorithm::Evolutionary::Op::FullAlgorithm
Skeleton class for a fully-featured evolutionary algorithm
Algorithm::Evolutionary::Op::GaussianMutation
Changes numeric chromosome components following the gaussian distribution
Algorithm::Evolutionary::Op::Gene_Boundary_Crossover
n-point crossover operator that restricts crossing point to gene boundaries
Algorithm::Evolutionary::Op::GeneralGeneration
Customizable single generation for an evolutionary algorithm.
Algorithm::Evolutionary::Op::GenerationalTerm
Checks for termination of an algorithm.
Algorithm::Evolutionary::Op::IncMutation
Increments/decrements by one the value of one of the components of the string, takes into account the char class
Algorithm::Evolutionary::Op::Inverover
Michalewicz\'s inver-over Operator.
Algorithm::Evolutionary::Op::LinearFreezer
used by Simulated Annealing algorithms
Algorithm::Evolutionary::Op::Mutation
BitFlip mutation, changes several bits in a bitstring, depending on the probability
Algorithm::Evolutionary::Op::NoChangeTerm
Checks for termination of an algorithm; terminates when several generations transcur without change
Algorithm::Evolutionary::Op::Novelty_Mutation
Mutation guaranteeing new individual is not in the population
Algorithm::Evolutionary::Op::Permutation
Per-mutation. Got it?
Algorithm::Evolutionary::Op::QuadXOver
n-point crossover operator; puts a part of the second operand into the first operand; can be 1 or 2 points.
Algorithm::Evolutionary::Op::RouletteWheel
Fitness-proportional selection, using a roulette wheel
Algorithm::Evolutionary::Op::Selector
Abstract base class for population selectors
Algorithm::Evolutionary::Op::SimulatedAnnealing
An operator that performs the simulated annealing algorithm on an individual, using an external freezing schedule
Algorithm::Evolutionary::Op::Storing
Applies the op and keeps the result
Algorithm::Evolutionary::Op::TournamentSelect
Tournament selector, takes individuals from one population and puts them into another
Algorithm::Evolutionary::Op::TreeMutation
GP-like mutation operator for trees
Algorithm::Evolutionary::Op::VectorCrossover
Crossover for Algorithm::Evolutionary::Individual::Vector.
Algorithm::Evolutionary::Run
Class for setting up an experiment with algorithms and population
Algorithm::Evolutionary::Utils
Container module with a hodgepodge of functions
Algorithm::Evolutionary::Wheel
Random selector of things depending on probabilities

Examples

Other files