Examples of org.encog.ml.prg.generator.PrgGrowGenerator

org.encog.ml.prg.generator.PrgGrowGenerator
The grow generator creates a random program by choosing a random node from both the "function and terminal" sets until the maximum depth is reached. Once the maximum depth is reached only nodes from terminal set are chosen. This algorithm was implemented as described in the following publication: Genetic programming: on the programming of computers by means of natural selection MIT Press Cambridge, MA, USA (c)1992 ISBN:0-262-11170-5

   * @param theContext The program context.
   * @param theMaxDepth The maximum depth.
   */
  public SubtreeMutation(final EncogProgramContext theContext,
      final int theMaxDepth) {
    this.generator = new PrgGrowGenerator(theContext, theMaxDepth);
    this.maxDepth = theMaxDepth;
  }

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    EncogProgramContext context = new EncogProgramContext();
    context.defineVariable("x");
    
    StandardExtensions.createAll(context);
    
    PrgGrowGenerator rnd = new PrgGrowGenerator(context,2);
    EncogProgram prg = rnd.generate(new Random());
    RenderCommonExpression render = new RenderCommonExpression();
    String str = render.render(prg);
    System.out.println(str);
  }

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Related Classes of org.encog.ml.prg.generator.PrgGrowGenerator

org.encog.ml.prg.opp.SubtreeMutation

org.encog.ml.prg.train.TestGenerate

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