globalsetup.hpp

遗传算法程序最新版

/***************************************************************
/* 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 0.0

enum 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