/***************************************************************/* Single & Multi-Objective Real-Coded Genetic Algorithms Code *//* Author: Kumara Sastry                                       *//* Illinois Genetic Algorithms Laboratory (IlliGAL)            *//* Deparment of General Engineering                            *//* University of Illinois at Urbana-Champaign                  *//* 104 S. Mathews Ave, Urbana, IL 61801                        *//***************************************************************/#ifndef _GLOBALSETUP_H#define _GLOBALSETUP_H#include <iostream>#include <fstream>#define SWAP(A,B)    (A^=B^=A^=B)#define ZERO         1.0E-10#define INFTY        1.0E+20;#define IDOMJ        1#define JDOMI       -1#define INONDOMJ     0#define GUYS         0#define NEWGUYS      1#define COMBINEDGUYS 2#define NO           0#define YES          1#define OFF          0#define ON           1#define OBJECTIVE    0#define FITNESS      1#define REFLECT -1.0#define EXPAND   2.0#define CONTRACT 0.5#define RECONSTRUCT 0.0enum OptimType {Minimization, Maximization};enum GAType {SGA, NSGA};enum VariableType {Integer, Real};enum ConstraintMethod {NoConstraints, Penalty, Tournament};enum SelectionType {TournamentWOR, SUS, Truncation, RouletteWheel, TournamentWR};enum XOverType {OnePoint, TwoPoint, Uniform, SBX};enum MutationType {Selective, Genewise, Polynomial};enum NichingType {NoNiching, Sharing, RTS, DeterministicCrowding};enum LocalSearchMethod {NoLocalSearch, SimplexSearch};enum PenaltyFunction{Linear, Quadratic};enum ScalingMethod {NoScaling,Ranking, SigmaScaling};enum StoppingCriterias {  NoOfEvaluations,		// 1  FitnessVariance,		// 1  BestFitness,			// 2  AverageFitness,		// 2  AverageObjective,		// 2  ChangeInBestFitness,	        // 2  ChangeInAvgFitness,		// 2  ChangeInFitnessVar,		// 2  ChangeInBestObjective,	// 2  ChangeInAvgObjective,	        // 2  NoOfFronts,			// 3  NoOfGuysInFirstFront,	        // 3  ChangeInNoOfFronts		// 3};class GlobalSetup {public:  // Configurator specific information  int noOfDecisionVariables;   int noOfRawConstraints;   int noOfRawObjectives;  int noOfLinearObjectiveCombinations;  int noOfLinearConstraintCombinations;  int finalNoOfObjectives;  int finalNoOfConstraints;  double **linearObjectiveCombinationWeights;  double **linearConstraintCombinationWeights;  double *penaltyWeights;  double maxLocalTolerance;  int maxLocalEvaluations;  double initialLocalPenaltyParameter;  double localUpdateParameter;  // GA Specific Information  VariableType *variableTypes;  double **variableRanges;  OptimType *typeOfOptimizations;  GAType gaType;  int populationSize;  int maxGenerations;  double xOverProbability, mutationProbability;  double lamarckianProbability, localSearchProbability;  LocalSearchMethod localSearchMethod;  SelectionType selectionType;  XOverType xOverType;  MutationType mutationType;  NichingType nichingType;  ConstraintMethod constraintMethod;  PenaltyFunction penaltyFunction;  ScalingMethod scalingMethod;  void	*scalingParameters;  void *selectionParameters, *xOverParameters;  void *nichingParameters, *mutationParameters;  int	genNumWindow;			// 5  int	noOfStoppingCriterias;  double *stoppingParameter;  StoppingCriterias *otherStoppingCriteria;  double replaceProportion;		// 0.9  bool loadPopulation;  bool evaluateAgain;  char *populationFileName;  bool savePopulation;  char *saveEvalSolutions;  ~GlobalSetup();};#endif