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

org.encog.ml.prg.generator.RampedHalfAndHalf

Because neither the grow or full method provide a very wide array of sizes or shapes on their own, Koza (1992) proposed a combination called ramped half-and-half. Half the initial population is constructed using full and half is constructed using grow. This is done using a range of depth limits (hence the term "ramped") to help ensure that we generate trees having a variety of sizes and shapes. (from: A field guide to genetic programming) 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

        pop.getContext().getFunctions().addExtension(temp);
      }
    }
    
    // generate initial population
    RampedHalfAndHalf generate = new RampedHalfAndHalf(pop.getContext(), 1, 6);    
    generate.generate(new Random(), pop);
  }

    }
    
    PrgPopulation pop = new PrgPopulation(context,populationSize);
    
    if( context.getFunctions().size()>0 ) {
      (new RampedHalfAndHalf(context,2,6)).generate(new Random(), pop);
    }
    return pop;
  }

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

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