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See:
Description
Interface Summary | |
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IChromosome | Defines methods required by chromosomes for a genetic algorithm. |
IContext | Defines methods required by a context in a genetic algorithm. |
IFitnessCase | Defines methods required by a fitness case for a genetic algorithm. |
IGameGeneticAlgorithm | Defines methods required by game genetic algorithms. |
IGeneticAlgorithm | Defines methods required by genetic algorithms. |
IPopulation | Defines methods required by a collection which holds IChromosome
s. |
ISelector | Defines methods required by a chromosome selector in a genetic algorithm. |
Class Summary | |
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AbstractChromosome | Provides base functionality for chromosomes for a genetic algorithm. |
AbstractContext | Provides base functionality for a context in a genetic algorithm. |
AbstractFitnessCase | Provides base functionality for a fitness case in a genetic algorithm. |
AbstractGeneticAlgorithm | Provides base functionality for genetic algorithms. |
AbstractPopulation | Provides base functionality for a collection which holds
IChromosome s. |
AbstractSelector | Provides base functionality for a selector in a genetic algorithm. |
ChromosomeBoolean | Provides a chromosome which contains boolean s. |
ChromosomeDouble | Provides a chromosome which contains double s. |
ChromosomeInt | Provides a chromosome which contains int s. |
ChromosomeNeuralNetwork | Provides a chromosome which contains DefaultNeuralNetwork s. |
CrossoverType | Provides a crossover type enumeration class. |
DefaultContext | Provides a default implementation for a context in a genetic algorithm. |
DefaultFitnessCase | Provides a default implementation of a fitness case for a genetic algorithm. |
DefaultPopulation | Provides a default implementation of a population. |
FitnessProportionalSelector | Provides a chromosome selector which randomly selects from the population proportionally based upon fitness of the chromosomes. |
RandomSelector | Provides a chromosome selector which simply randomly selects from the population. |
Provides genetic algorithm classes for the game framework.
Figure 1 displays an overview of all classes in the geneticalgorithm package.
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Copyright © 2007 Vizzini.org. All Rights Reserved. | 2007.12.25.03.00.02 |