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See:
Description
| Interface Summary | |
|---|---|
| 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 | |
|---|---|
| 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 |