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

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `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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