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Algorithm::Evolutionary
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Perl extension for performing paradigm-free evolutionary algorithms.
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0.54 |
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Algorithm::Evolutionary::Experiment
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Class for setting up an experiment with algorithms and population
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1 |
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Algorithm::Evolutionary::Individual::Base
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Base class for chromosomes that knows how to build them, and has some helper methods.
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1.14 |
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Algorithm::Evolutionary::Individual::BitString
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Classic bitstring individual for evolutionary computation; usually called *chromosome*
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1.7 |
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Algorithm::Evolutionary::Individual::String
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A character string to be evolved. Useful mainly in word games
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1.7 |
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Algorithm::Evolutionary::Individual::Tree
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A Direct Acyclic Graph, or tree, useful for Genetic Programming-Style stuff
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1.6 |
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Algorithm::Evolutionary::Individual::Vector
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Array as an individual for evolutionary computation
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1.8 |
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Algorithm::Evolutionary::Op::ArithCrossover
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Arithmetic crossover operator; performs the average of the n parents crossed
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1.2 |
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Algorithm::Evolutionary::Op::Base
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Base class for OPEAL operators; operators are any object with the "apply" method, which does things to individuals or populations.
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1 |
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Algorithm::Evolutionary::Op::Bitflip
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BitFlip mutation
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1.5 |
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Algorithm::Evolutionary::Op::CX
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(Cycle crossover) - 2-point crossover operator; Builds offspreing in such a way that each gene comes from one of the parents. Preserves the absolute position of the elements in the parent sequence
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1.3 |
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Algorithm::Evolutionary::Op::CanonicalGA
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Canonical Genetic Algorithm, with any representation
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1 |
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Algorithm::Evolutionary::Op::ChangeLengthMutation
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Increases/decreases by one the length of the string
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1.3 |
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Algorithm::Evolutionary::Op::Creator
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Operator that generates groups of individuals, of the intended class
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1 |
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Algorithm::Evolutionary::Op::Crossover
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n-point crossover operator; puts a part of the second operand into the first operand; can be 1 or 2 points.
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1.8 |
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Algorithm::Evolutionary::Op::DeltaTerm
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Termination condition for an algorithm; checks that the difference of the best to a target is less than a delta
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1 |
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Algorithm::Evolutionary::Op::Easy
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evolutionary algorithm, single generation, with variable operators.
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1 |
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Algorithm::Evolutionary::Op::FullAlgorithm
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Skeleton class for a fully-featured evolutionary algorithm
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1 |
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Algorithm::Evolutionary::Op::GaussianMutation
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Changes numeric chromosome components following the gaussian distribution
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1.2 |
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Algorithm::Evolutionary::Op::GeneralGeneration
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Customizable single generation for an evolutionary algorithm.
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1 |
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Algorithm::Evolutionary::Op::GenerationalTerm
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Checks for termination of an algorithm.
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1 |
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Algorithm::Evolutionary::Op::IncMutation
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Increments/decrements by one the value of one of the components of the string, takes into account the char class
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1.4 |
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Algorithm::Evolutionary::Op::Inverover
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Michalewicz\'s inver-over Operator.
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1.3 |
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Algorithm::Evolutionary::Op::LinearFreezer
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used by Simulated Annealing algorithms
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1.2 |
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Algorithm::Evolutionary::Op::Mutation
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BitFlip mutation, changes several bits in a bitstring, depending on the probability
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1.3 |
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Algorithm::Evolutionary::Op::NoChangeTerm
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Checks for termination of an algorithm; terminates when several generations transcur without change
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1 |
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Algorithm::Evolutionary::Op::Permutation
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Per-mutation. Got it?
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1.4 |
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Algorithm::Evolutionary::Op::QuadXOver
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n-point crossover operator; puts a part of the second operand into the first operand; can be 1 or 2 points.
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1.1 |
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Algorithm::Evolutionary::Op::RouletteWheel
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Fitness-proportional selection, using a roulette wheel
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1 |
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Algorithm::Evolutionary::Op::SimulatedAnnealing
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An operator that performs the simulated annealing algorithm on an individual, using an external freezer.
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1 |
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Algorithm::Evolutionary::Op::TournamentSelect
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Tournament selector, takes individuals from one population and puts them into another
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1 |
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Algorithm::Evolutionary::Op::TreeMutation
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GP-like mutation operator for trees
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1.3 |
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Algorithm::Evolutionary::Op::VectorCrossover
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Crossover for Algorithm::Evolutionary::Individual::Vector.
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1.8 |
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Algorithm::Evolutionary::Wheel
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Random selector of things depending on probabilities
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1 |
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