xcs.h

Simple GA code (Pascal code from Goldberg, D. E. (1989), Genetic Algorithms in Search, Optimization,

/*
/       (XCS-C 1.2)
/	------------------------------------
/	Learning Classifier System based on accuracy
/
/     by 
/     Martin V. Butz
/     Illinois Genetic Algorithms Laboratory (IlliGAL)
/     University of Illinois at Urbana/Champaign
/     [e-mail]
/
/     Last modified: 09-30-2003
/
/     Main program header
*/

struct XCS{
  char *tabOutFile;
  int nrExps;
  int maxNrSteps;
  int testFrequency;

  int maxPopSize;
  double alpha;
  double beta;
  double gamma;
  double epsilon0;
  int nu;

  int thetaGA;
  double fitnessReduction;
  double tournamentSize;
  double forceDifferentInTournament;
  double selectTolerance;
  int crossoverType;
  double chiGA;
  double muGA;
  int doGeneralizationMutation;
  int doNicheMutation;
  
  int doMAM;
  int doGAErrorBasedSelect;
  
  double delta;
  int thetaDel;

  int deletionType;

  double dontCareProb;

  int doGASubsumption;
  int doActionSetSubsumption;
  int thetaSub;

  double exploreProb;
  int teletransportation;

  int initializePopulation; /* specifies if a random population should be generated initially */
};

struct xClassifierSet;

void startExperiments(struct XCS *xcs1);
struct XCS *readXCS(FILE *parameterFile);

void startOneSingleStepExperiment(struct XCS *xcs, FILE *tabFile,
struct xClassifierSet **pop, double **averages, int expnr, FILE *tabFile2);
void doOneSingleStepProblemExplore(struct XCS *xcs, struct xClassifierSet **pop, char *state, int trialCounter);
void doOneSingleStepProblemExploit(struct XCS *xcs, struct xClassifierSet **pop, char *state, int trialCounter, 
				   int *correct, double *sysError);

void startOneMultiStepExperiment(struct XCS *xcs, FILE *tabFile,
struct xClassifierSet **pop, double **averages, int expnr);
void doOneMultiStepProblemExplore(struct XCS *xcs, struct xClassifierSet **pop, char *state, int *counter);
void doOneMultiStepProblemExploit(struct XCS *xcs, struct xClassifierSet **pop, char *state, int counter, int *stepToFood, double *sysError );

void writePerformance(struct XCS *xcs, FILE *tabFile, struct
xClassifierSet *pop, int *correct, double *sysError, int counter, double **averages, int expnr);
void writeAveragePerformance(struct XCS *xcs, double **averages);

void setParameterValues(FILE *parameterFile, struct XCS *xcs);
void setMacroValues(struct XCS *xcs);
struct XCS *copyXCS(struct XCS *xcsOld);
void freeXCS(struct XCS *xcs);
void fprintXCS(FILE *outfile, struct XCS *xcs);