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J. J. Merelo-Guervós > Algorithm-Evolutionary

# Algorithm-Evolutionary

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## Modules

 Algorithm::Evolutionary Perl module for performing paradigm-free evolutionary algorithms. 0.8 Algorithm::Evolutionary::Experiment Class for setting up an experiment with algorithms and population 3.4 Algorithm::Evolutionary::Fitness::Any Façade for any function so that it can be used as fitness 3.2 Algorithm::Evolutionary::Fitness::Base Base class for fitness functions 3.1 Algorithm::Evolutionary::Fitness::ECC Error Correcting codes problem generator 3.2 Algorithm::Evolutionary::Fitness::Knapsack Fitness function for the knapsack problem 3.1 Algorithm::Evolutionary::Fitness::MMDP Massively Multimodal Deceptive Problem 3 Algorithm::Evolutionary::Fitness::ONEMAX Fitness function for the ONEMAX or count-ones problem 3 Algorithm::Evolutionary::Fitness::P_Peaks P Peaks problem generator 3.4 Algorithm::Evolutionary::Fitness::Rastrigin Implementation of Rastrigin's function 3.3 Algorithm::Evolutionary::Fitness::Royal_Road Mitchell's Royal Road function 3.1 Algorithm::Evolutionary::Fitness::String Base class for string-based fitness functors 3 Algorithm::Evolutionary::Fitness::Trap 'Trap' fitness function for evolutionary algorithms 3.2 Algorithm::Evolutionary::Fitness::ZDT1 Zitzler-Deb-Thiele #1 Multiobjective test function 3.001 Algorithm::Evolutionary::Fitness::wP_Peaks wP Peaks problem generator - weighted version of P_Peaks 3.002 Algorithm::Evolutionary::Hash_Wheel Random selector of things depending on probabilities 1.2 Algorithm::Evolutionary::Individual::Any Wrapper around any Perl class, turns it into a *Chromosome* 3 Algorithm::Evolutionary::Individual::Base Base class for chromosomes that knows how to build them, and has some helper methods. 3.3 Algorithm::Evolutionary::Individual::BitString Classic bitstring individual for evolutionary computation; usually called *chromosome* 3.4 Algorithm::Evolutionary::Individual::Bit_Vector Classic bitstring individual for evolutionary computation; usually called chromosome, and using a different implementation from Algorithm::Evolutionary::Individual::BitString 3.1 Algorithm::Evolutionary::Individual::String A character string to be evolved. Useful mainly in word games 3.7 Algorithm::Evolutionary::Individual::Tree A Direct Acyclic Graph, or tree, useful for Genetic Programming-Style stuff 3.1 Algorithm::Evolutionary::Individual::Vector Array as an individual for evolutionary computation 3.2 Algorithm::Evolutionary::Op::Animated_GIF_Output Creates an animated GIF, a frame per generation. Useful for binary strings. 1.005 Algorithm::Evolutionary::Op::ArithCrossover Arithmetic crossover operator; performs the average of the n parents crossed 3.001 Algorithm::Evolutionary::Op::Base Base class for Algorithm::Evolutionary operators, 3.3 Algorithm::Evolutionary::Op::Bitflip Bit-flip mutation 3.3 Algorithm::Evolutionary::Op::Breeder Even more customizable single generation for an evolutionary algorithm. 1.4 Algorithm::Evolutionary::Op::Breeder_Diverser Like Breeder, only it tries to cross only individuals that are different 1.7 Algorithm::Evolutionary::Op::CX (Cycle crossover) - 2-point crossover operator; Builds offspring in such a way that each gene comes from one of the parents. Preserves the absolute position of the elements in the parent sequence 3.2 Algorithm::Evolutionary::Op::CanonicalGA Canonical Genetic Algorithm, with any representation 3.6 Algorithm::Evolutionary::Op::Canonical_GA_NN Canonical Genetic Algorithm that does not rank population 3.6 Algorithm::Evolutionary::Op::ChangeLengthMutation Increases/decreases by one atom the length of the string 3.1 Algorithm::Evolutionary::Op::Combined Combinator of several operators of the same arity, unary or binary 1.2 Algorithm::Evolutionary::Op::Convergence_Terminator Checks for termination of an algorithm, returns true if a certain percentage of the population is the same 3.1 Algorithm::Evolutionary::Op::Creator Operator that generates groups of individuals, of the intended class 3.1 Algorithm::Evolutionary::Op::Crossover n-point crossover operator; puts fragments of the second operand into the first operand 3.002 Algorithm::Evolutionary::Op::DeltaTerm Termination condition for an algorithm; checks that the difference of the best to a target is less than a delta 3 Algorithm::Evolutionary::Op::EDA_step Single step for a Estimation of Distribution Algorithm 1.5 Algorithm::Evolutionary::Op::Easy evolutionary algorithm, single generation, with variable operators. 3.5 Algorithm::Evolutionary::Op::Easy_MO Multiobjecttive evolutionary algorithm, single generation, with variable operators 3.6 Algorithm::Evolutionary::Op::Eval::General General and simple population evaluator 3 Algorithm::Evolutionary::Op::Eval::MO_Rank Multiobjective evaluator based on Pareto rank 3.002 Algorithm::Evolutionary::Op::FullAlgorithm Skeleton class for a fully-featured evolutionary algorithm 3 Algorithm::Evolutionary::Op::GaussianMutation Changes numeric chromosome components following the gaussian distribution. 3.4 Algorithm::Evolutionary::Op::Gene_Boundary_Crossover n-point crossover operator that restricts crossing point to gene boundaries 3.002 Algorithm::Evolutionary::Op::GeneralGeneration Customizable single generation for an evolutionary algorithm. 3.2 Algorithm::Evolutionary::Op::Generation_Skeleton Even more customizable single generation for an evolutionary algorithm. 3.3 Algorithm::Evolutionary::Op::GenerationalTerm Checks for termination of an algorithm. 3 Algorithm::Evolutionary::Op::IncMutation Increments/decrements by one the value of one of the components of the string, takes into account the char class 3.001 Algorithm::Evolutionary::Op::Inverover Michalewicz's inver-over Operator. 3 Algorithm::Evolutionary::Op::LinearFreezer Used by Simulated Annealing algorithms, reduces temperature lineally. 3.1 Algorithm::Evolutionary::Op::Mutation BitFlip mutation, changes several bits in a bitstring, depending on the probability 3.1 Algorithm::Evolutionary::Op::NoChangeTerm Checks for termination of an algorithm; terminates when several generations transcur without change 3 Algorithm::Evolutionary::Op::Novelty_Mutation Mutation guaranteeing new individual is not in the population 3.001 Algorithm::Evolutionary::Op::Permutation Per-mutation. Got it? 3.7 Algorithm::Evolutionary::Op::Population_Output Flexible population printing class 3.001 Algorithm::Evolutionary::Op::QuadXOver N-point crossover operator that changes operands 3.104 Algorithm::Evolutionary::Op::Quad_Crossover_Diff Uniform crossover, but interchanges only those atoms that are different 1.102 Algorithm::Evolutionary::Op::Replace_Different Incorporate individuals into the population replacing the worst ones but only if they are different. 1.3 Algorithm::Evolutionary::Op::Replace_Worst Incorporate individuals into the population replacing the worst ones 3.2 Algorithm::Evolutionary::Op::RouletteWheel Fitness-proportional selection, using a roulette wheel. 3.1 Algorithm::Evolutionary::Op::Selector Abstract base class for population selectors 3 Algorithm::Evolutionary::Op::SimulatedAnnealing An operator that performs the simulated annealing algorithm on an individual, using an external freezing schedule 3.1 Algorithm::Evolutionary::Op::Storing Applies the op and keeps the result 3.001 Algorithm::Evolutionary::Op::StringRand randomly change chars in a string 3.001 Algorithm::Evolutionary::Op::String_Mutation Single character string mutation 3.007 Algorithm::Evolutionary::Op::Tournament_Selection Tournament selector, takes individuals from one population and puts them into another 1.5 Algorithm::Evolutionary::Op::TreeMutation GP-like mutation operator for trees 3.1 Algorithm::Evolutionary::Op::Uniform_Crossover interchanges a set of atoms from one parent to the other. 3.2 Algorithm::Evolutionary::Op::Uniform_Crossover_Diff Uniform crossover, but interchanges only those atoms that are different 3.106 Algorithm::Evolutionary::Op::VectorCrossover Crossover for Algorithm::Evolutionary::Individual::Vector. 3.1 Algorithm::Evolutionary::Run Class for setting up an experiment with algorithms and population 3.2 Algorithm::Evolutionary::Utils Container module with a hodgepodge of functions 3.4 Algorithm::Evolutionary::Wheel Random selector of things depending on probabilities 3.6

## Documentation

 canonical-genetic-algorithm.pl Canonical Genetic Algorithm on a simple fitness function rectangle-coverage.pl Find the dot maximally covered by (random) rectangles tide_bitstring.pl Implementation of the Tide optimization using A::E tide_float.pl Optimization of the tide function using A::E