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## org.encog.neural.neat.training.opp.links
Interface SelectLinks

All Known Implementing Classes:
  SelectFixed, SelectProportion

    public interface SelectLinks

This interface defines ways that NEAT links can be chosen for mutation. ----------------------------------------------------------------------------- http://www.cs.ucf.edu/~kstanley/ Encog's NEAT implementation was drawn from the following three Journal Articles. For more complete BibTeX sources, see NEATNetwork.java. Evolving Neural Networks Through Augmenting Topologies Generating Large-Scale Neural Networks Through Discovering Geometric Regularities Automatic feature selection in neuroevolution

Method Summary
`EvolutionaryAlgorithm` | `getTrainer()`
`void` | `init(EvolutionaryAlgorithm theTrainer)` Setup the selector.
`List<NEATLinkGene>` | `selectLinks(Random rnd, NEATGenome genome)` Select links from the specified genome.

Method Detail

### getTrainer

    EvolutionaryAlgorithm getTrainer()

  Returns:
    The trainer being used.

### init

    void init(EvolutionaryAlgorithm theTrainer)

  Setup the selector.

  Parameters:
    `theTrainer` - The trainer.

### selectLinks

    List<NEATLinkGene> selectLinks(Random rnd,
                                   NEATGenome genome)

  Select links from the specified genome.

  Parameters:
    `rnd` - A random number generator.
    `genome` - The genome to select from.
  Returns:
    A List of link genomes.

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