gpsys.symreg
Class SymRegGPParameters

java.lang.Object
  |
  +--gpsys.GPParameters
        |
        +--gpsys.symreg.SymRegGPParameters

public class SymRegGPParameters

extends GPParameters

The GPParameters class for the symbolic regression problem. Any instance of this class has all the GP parameters correctly set.

Version:

$Revision: 1.1 $, $Date: 2000/07/05 16:25:51 $

Author:

Adil Qureshi

Department of Computer Science,

University College London,

Gower St,

London WC1E 6BT,

UK.

See Also:

Serialized Form

Fields inherited from class gpsys.GPParameters

adf, creationIndex, engine, ENGINE_GENERATIONAL, ENGINE_STEADYSTATE, fitness, generations, observer, pMutation, population, populationSize, pReproduction, rng, rngSeed, tournamentSize

Constructor Summary

(package private)

SymRegGPParameters(long seed, int population, int generations) Constructs a GPParameters object for the symbolic regression problem.

Methods inherited from class gpsys.GPParameters

load, load, save, save, writeReport, writeReport

Methods inherited from class java.lang.Object

, clone, equals, finalize, getClass, hashCode, notify, notifyAll, registerNatives, toString, wait, wait, wait

Constructor Detail

SymRegGPParameters

SymRegGPParameters(long seed,
                   int population,
                   int generations)

Constructs a GPParameters object for the symbolic regression problem.

Parameters:

seed - The seed to be used for the random number generator. If a seed value of 0 is supplied, a unique seed is generated using the current time.

population - The size of the population to be used.

generations - The maximum number of generations to be evolved.