// gpv(ariables).cc/* -------------------------------------------------------------------gpc++ - The Genetic Programming KernelThis program is free software; you can redistribute it and/or modifyit under the terms of the GNU General Public License as published bythe Free Software Foundation; either version 1, or (at your option)any later version.This program is distributed in the hope that it will be useful, butWITHOUT ANY WARRANTY; without even the implied warranty ofMERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNUGeneral Public License for more details.You should have received a copy of the GNU General Public Licensealong with this program; if not, write to the Free SoftwareFoundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.Copyright 1993, 1994 Adam P. Fraser and 1996, 1997 Thomas WeinbrennerFor comments, improvements, additions (or even money) contact:Thomas WeinbrennerGrauensteinstr. 2635789 LaimbachGermanyE-mail: thomasw@emk.e-technik.th-darmstadt.deWWW:    http://www.emk.e-technik.th-darmstadt/~thomasw  or (Address may be out of date)Adam Fraser, Postgraduate Section, Dept of Elec & Elec Eng,Maxwell Building, University Of Salford, Salford, M5 4WT, United Kingdom.E-mail: a.fraser@eee.salford.ac.ukTel:    (UK) 061 745 5000 x3633Fax:    (UK) 061 745 5999------------------------------------------------------------------- */// A nice simple class to contain all the genetic programming// variables#include <stdlib.h>#include <fstream.h>#include "gp.h"// Setup default valuesGPVariables::GPVariables (){  PopulationSize=100;  NumberOfGenerations=20;  CrossoverProbability=95.0;  CreationProbability=2.0;  CreationType=2;  MaximumDepthForCreation=6;  MaximumDepthForCrossover=17;  SelectionType=GPTournamentSelection;  TournamentSize=10;  DemeticGrouping=0;  DemeSize=100;  DemeticMigProbability=100.0;  SwapMutationProbability=0.0;  ShrinkMutationProbability=0.0;  AddBestToNewPopulation=1;  SteadyState=1;}GPVariables::GPVariables (const GPVariables& gpo) : GPObject(gpo) {  PopulationSize=gpo.PopulationSize;  NumberOfGenerations=gpo.NumberOfGenerations;  CrossoverProbability=gpo.CrossoverProbability;  CreationProbability=gpo.CreationProbability;  CreationType=gpo.CreationType;  MaximumDepthForCreation=gpo.MaximumDepthForCreation;  MaximumDepthForCrossover=gpo.MaximumDepthForCrossover;  SelectionType=gpo.SelectionType;  TournamentSize=gpo.TournamentSize;  DemeticGrouping=gpo.DemeticGrouping;  DemeSize=gpo.DemeSize;  DemeticMigProbability=gpo.DemeticMigProbability;  SwapMutationProbability=gpo.SwapMutationProbability;  ShrinkMutationProbability=gpo.ShrinkMutationProbability;  AddBestToNewPopulation=gpo.AddBestToNewPopulation;  SteadyState=gpo.SteadyState;}// Write variables to ostreamvoid GPVariables::printOn (ostream& os){  os << "PopulationSize            = " << PopulationSize     << "\nNumberOfGenerations       = " << NumberOfGenerations     << "\nCrossoverProbability      = " << CrossoverProbability     << "\nCreationProbability       = " << CreationProbability     << "\nCreationType              = ";  switch (CreationType)    {    case GPVariable:      os << "Variable";      break;    case GPGrow:      os << "Grow";      break;    case GPRampedHalf:      os << "Ramped Half and Half";      break;    case GPRampedVariable:      os << "Ramped Variable";      break;    case GPRampedGrow:      os << "Ramped Grow";      break;    case GPUserDefinedCreation:      os << "User defined";      break;    default:      GPExitSystem ("GPVariables::printOn", "Wrong creation type");    }  os << "\nMaximumDepthForCreation   = " << MaximumDepthForCreation     << "\nMaximumDepthForCrossover  = " << MaximumDepthForCrossover     << "\nSelectionType             = ";  switch (SelectionType)    {    case GPProbabilisticSelection:      os << "Probablistic selection";      break;    case GPTournamentSelection:      os << "Tournament selection";      break;    case GPUserDefinedSelection:      os << "User defined";      break;    default:      GPExitSystem ("GPVariables::printOn", "Wrong selection type");    }  os << "\nTournamentSize            = " << TournamentSize     << "\nDemeticGrouping           = " << (DemeticGrouping?"On":"Off")     << "\nDemeSize                  = " << DemeSize     << "\nDemeticMigProbability     = " << DemeticMigProbability     << "\nSwapMutationProbability   = " << SwapMutationProbability     << "\nShrinkMutationProbability = " << ShrinkMutationProbability     << "\nAddBestToNewPopulation    = " << AddBestToNewPopulation     << "\nSteadyState               = " << SteadyState     << endl;}// Load operationchar* GPVariables::load (istream& is){  is >> PopulationSize;  is >> NumberOfGenerations;  is >> CrossoverProbability;  is >> CreationProbability;  is >> CreationType;  is >> MaximumDepthForCreation;  is >> MaximumDepthForCrossover;  is >> SelectionType;  is >> TournamentSize;  is >> DemeticGrouping;  is >> DemeSize;  is >> DemeticMigProbability;  is >> SwapMutationProbability;  is >> ShrinkMutationProbability;  is >> AddBestToNewPopulation;  is >> SteadyState;  return NULL;}// Save operationvoid GPVariables::save (ostream& os){  os << PopulationSize << ' ';  os << NumberOfGenerations << ' ';  os << CrossoverProbability << ' ';  os << CreationProbability << ' ';  os << CreationType << ' ';  os << MaximumDepthForCreation << ' ';  os << MaximumDepthForCrossover << ' ';  os << SelectionType << ' ';  os << TournamentSize << ' ';  os << DemeticGrouping << ' ';  os << DemeSize << ' ';  os << DemeticMigProbability << ' ';  os << SwapMutationProbability << ' ';  os << ShrinkMutationProbability << ' ';  os << AddBestToNewPopulation << ' ';  os << SteadyState << ' ';}