boolfktenv.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
/
/     The Boolean Function environment - header - provides the default parameter settings 
/     as well as the struct which maintains current parameter settings. 
*/

struct booleanEnv{
  int constantFunction;
  int randomFunction;
  int parityFunction;
  int multiplexerFunction;
  int concatenatedMultiplexer;
  int biasedMultiplexer;
  int countOnesFunction;

  double samplingBias;

  double addNoiseToAction;
  double actionNoiseMu;
  double actionNoiseSigma;

  int paymentRange;
  int conditionLength;

  int paritySize;

  int multiplexerBits;
  int payoffLandscape;

  int bmpX;
  int bmpY; 

  int countOnesSize;
  int countOnesType;
};

#define CONSTANT_FUNCTION 0
#define RANDOM_FUNCTION 0
#define PARITY_FUNCTION 0
#define MULTIPLEXER_FUNCTION 1
#define CONCATENATED_MULTIPLEXER 0
#define BIASED_MULTIPLEXER 0
#define COUNT_ONES_FUNCTION 0

#define SAMPLING_BIAS 0.5 /* 0.5 means: There is no sampling bias! */

#define ADD_NOISE_TO_ACTION 0 /* 0=add no noise 1=add noise to both actions 2=add noise to action 0 3=add noise to action 1 4.XX = probability of other outcome (given only PAYMENT_RANGE and 0 as possible outcomes) */
#define ACTION_NOISE_MU 0.0 /* the skew if the payoff noise */
#define ACTION_NOISE_SIGMA 0.0 /* standard deviation of the normal distributed payoff noise */

#define PAYMENT_RANGE 1000.   /* always for multiplexer: 1000, 1800, 3400, 6600, 13000 */
#define CONDITION_LENGTH 20   /* for MP: 6 11 20 37 70 */

/* Parity Function Constants */
#define PARITY_SIZE 5

/* Multiplexer Function Constants */
#define MULTIPLEXER_BITS 4  /* Number of position bits */ 
#define PAYOFF_LANDSCAPE 0 /* 1=layered reward scheme */

/* Biased Multiplexer Function */
#define BMP_X 2
#define BMP_Y 2

/* Count Ones Function */
#define COUNT_ONES_SIZE 5
#define COUNT_ONES_TYPE 2

#include "env.h"

/* local functions */
double doRandomAction(char *state, int act, int *correct);
double doParityAction(char *state, int act, int *correct);
double doMPAction(char *state, int act,int *correct);
double doConcatenatedMultiplexerAction(char *state, int act, int *correct);
double doBiasedMultiplexerAction(char *state, int act, int *correct);
double doCountOnesAction(char *state, int act, int *correct);

void newFunctionChoice();