Algorithm::Evolutionary::Op::Selector - Abstract base class for population selectors River stage one • 3 direct dependents • 4 total dependents

Abstract base class for population selectors; defines a few instance variables and interface elements...

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

Algorithm::Evolutionary::Wheel - Random selector of things depending on probabilities River stage one • 3 direct dependents • 4 total dependents

Creates a "roulette wheel" for spinning and selecting stuff. It will be used in several places; mainly in the Algorithm::Evolutionary::Op::CanonicalGA. Take care that fitness must be non-zero positives; since if they aren't, roulette wheel won't work...

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

Algorithm::Evolutionary::Hash_Wheel - Random selector of things depending on probabilities River stage one • 3 direct dependents • 4 total dependents

Creates a "roulette wheel" for spinning and selecting stuff. It will be used in several places; mainly in the Algorithm::Evolutionary::Op::CanonicalGA. It's similar to Algorithm::Evolutionary::Wheel, but with a hash instead of an array. Probably shou...

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

Algorithm::Evolutionary::Op::Breeder - Even more customizable single generation for an evolutionary algorithm. River stage one • 3 direct dependents • 4 total dependents

Breeder part of the evolutionary algorithm; takes a population and returns another created from the first...

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

Algorithm::Evolutionary::Op::EDA_step - Single step for a Estimation of Distribution Algorithm River stage one • 3 direct dependents • 4 total dependents

Estimation of Distribution Algorithms shun operators and instead try to model the distribution of "good" solutions in the population. This version corresponds to the most basic one....

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

Algorithm::Evolutionary::Op::FullAlgorithm - Skeleton class for a fully-featured evolutionary algorithm River stage one • 3 direct dependents • 4 total dependents

Class for a configurable evolutionary algoritm. It takes a single-generarion object, and mixes it with a termination condition to create a full algorithm. Includes a sensible default (100-generation generational algorithm) if it is issued only an obj...

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

Algorithm::Evolutionary::Op::RouletteWheel - Fitness-proportional selection, using a roulette wheel. River stage one • 3 direct dependents • 4 total dependents

Roulette wheel selection tries to select as many copies of the individual as it corresponds to its fitness. It is used in the canonical GA. Some information on this method of selection can be found in this GA tutorial <http://www.geatbx.com/docu/algs...

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

Algorithm::Evolutionary::Op::Breeder_Diverser - Like Breeder, only it tries to cross only individuals that are different River stage one • 3 direct dependents • 4 total dependents

Breeder part of the evolutionary algorithm; takes a population and returns another created from the first. Different from Algorithm::Evolutionary::Op::Breeder: tries to avoid crossover among the same individuals and also re-creating an individual alr...

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

Algorithm::Evolutionary::Op::GeneralGeneration - Customizable single generation for an evolutionary algorithm. River stage one • 3 direct dependents • 4 total dependents

Genetic algorithm that uses the other component. Must take as input the operators thar are going to be used, along with its priorities...

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

Algorithm::Evolutionary::Op::Generation_Skeleton - Even more customizable single generation for an evolutionary algorithm. River stage one • 3 direct dependents • 4 total dependents

Skeleton class for a general single-generation (or single step) in an evolutionary algorithm; its instantiation requires a fitness function, a Selector, a reference to an array of operators and a replacement operator...

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

Algorithm::Evolutionary::Op::Tournament_Selection - Tournament selector, takes individuals from one population and puts them into another River stage one • 3 direct dependents • 4 total dependents

One of the possible selectors used for selecting the pool of individuals that are going to be the parents of the following generation. Takes a set of individuals randomly out of the population, and select the best....

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

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