1  // This file is a part of Framsticks SDK. http://www.framsticks.com/


2  // Copyright (C) 19992018 Maciej Komosinski and Szymon Ulatowski.


3  // See LICENSE.txt for details.


4 


5  #include "fn_oper.h"


6  #include "fn_conv.h"


7  #include <common/nonstd.h> //randomN, rnd01


8 


9 


10  /**


11  \class GenoOper_fn


12 


13  This genetic representation only stores a vector of real numbers. A fitness function must be provided


14  for the gene pool, for example the "Booth function" would be:


15 


16  var X = String.deserialize(this.geno.rawgenotype); //a vector of real values


17  var result = Math.pow(X[0]+2*X[1]7,2) + Math.pow(2*X[0]+X[1]5,2);


18  return result; //negation because Framsticks assumes maximization, and the original function needs to be minimized


19  */


20 


21 


22 


23  #define FIELDSTRUCT GenoOper_fn


24  static ParamEntry GENOfnparam_tab[] =


25  {


26  { "Genetics: fn", 1, 6, },


27  { "fn_xover", 0, 0, "Fraction inherited in linear mix crossover", "f 0.5 1.0 0.9", FIELD(xover_proportion), "0.5 => children are averaged parents.\n0.8 => children are only 20% different from parents.\n1.0 => each child is identical to one parent (no crossover).", },


28  { "fn_xover_random", 0, 0, "Random fraction inherited in crossover", "d 0 1 1", FIELD(xover_proportion_random), "If active, the amount of linear mix is random in each crossover operation, so the \"Fraction inherited in linear mix crossover\" parameter is ignored.", },


29  { "fn_mut_bound_low", 1, 0, "Lower bounds for mutation", "s 0 0 [10.0, 10.0]", FIELD(mut_bound_low), "A vector of lower bounds (one real value for each variable)", },


30  { "fn_mut_bound_high", 1, 0, "Higher bounds for mutation", "s 0 0 [10.0, 10.0]", FIELD(mut_bound_high), "A vector of higher bounds (one real value for each variable)", },


31  { "fn_mut_stddev", 1, 0, "Standard deviations for mutation", "s 0 0 [0.1, 0.1]", FIELD(mut_stddev), "A vector of standard deviations (one real value for each variable)", },


32  { "fn_mut_single_var", 0, 0, "Mutate only a single variable", "d 0 1 0", FIELD(mut_single_var), "If active, only a single randomly selected variable will be mutated in each mutation operation. Otherwise all variables will be mutated.", },


33  { 0, },


34  };


35  #undef FIELDSTRUCT


36 


37 


38 


39  GenoOper_fn::GenoOper_fn()


40  {


41  par.setParamTab(GENOfnparam_tab);


42  par.select(this);


43  par.setDefault();


44  supported_format = 'n';


45  }


46 


47  int GenoOper_fn::checkValidity(const char* gene, const char *genoname)


48  {


49  vector<double> values = GenoConv_fn0::stringToVector(gene);


50  return values.size() > 0 ? GENOPER_OK : 1;


51  }


52 


53  int GenoOper_fn::validate(char *&gene, const char *genoname)


54  {


55  vector<double> values = GenoConv_fn0::stringToVector(gene);


56  if (values.size() == 0)


57  values.push_back(0.0);


58  string validated = GenoConv_fn0::vectorToString(values);


59  free(gene);


60  gene = strdup(validated.c_str()); //reallocate


61  return GENOPER_OK;


62  }


63 


64  //Creepmutate one property


65  int GenoOper_fn::mutate(char *&gene, float &chg, int &method)


66  {


67  method = 0;


68  vector<double> values = GenoConv_fn0::stringToVector(gene);


69  if (values.size() == 0)


70  return GENOPER_OPFAIL;


71  vector<double> bound_low = GenoConv_fn0::stringToVector(mut_bound_low.c_str());


72  vector<double> bound_high = GenoConv_fn0::stringToVector(mut_bound_high.c_str());


73  vector<double> stddev = GenoConv_fn0::stringToVector(mut_stddev.c_str());


74  if (bound_low.size() != bound_high.size()  bound_high.size() != stddev.size()  stddev.size() != values.size())


75  {


76  logPrintf("GenoOper_fn", "mutate", LOG_ERROR, "The solution vector, bound vectors, and standard deviation vectors must all have the same number of values");


77  return GENOPER_OPFAIL;


78  }


79 


80  if (mut_single_var) //mutate only one, randomly selected variable


81  {


82  int which = randomN(values.size());


83  values[which] = GenoOperators::mutateCreep('f', values[which], bound_low[which], bound_high[which], stddev[which], false);


84  chg = 1.0f / values.size();


85  }


86  else //mutate all variables


87  {


88  for (int which = 0; which < values.size(); which++)


89  values[which] = GenoOperators::mutateCreep('f', values[which], bound_low[which], bound_high[which], stddev[which], false);


90  chg = 1.0f;


91  }


92  string saved = GenoConv_fn0::vectorToString(values);


93  free(gene);


94  gene = strdup(saved.c_str()); //reallocate


95  return GENOPER_OK;


96  }


97 


98  ///Averaging crossover


99  int GenoOper_fn::crossOver(char *&g1, char *&g2, float& chg1, float& chg2)


100  {


101  //g1 = strdup("[1,0.5,0.5,0.5,0.5,1,1]"); //testing...


102  //g2 = strdup("[4,1, 1, 1, 1, 2,2]"); //testing...


103  //xover_proportion = 0.1; //testing...


104 


105  double proportion = xover_proportion_random ? 0.5 + rnd0N(0.5) : xover_proportion;


106 


107  chg1 = proportion;


108  chg2 = 1  proportion;


109 


110  vector<double> v1 = GenoConv_fn0::stringToVector(g1);


111  vector<double> v2 = GenoConv_fn0::stringToVector(g2);


112 


113  if (v1.size() != v2.size())


114  {


115  logPrintf("GenoOper_fn", "crossOver", LOG_ERROR, "Tried to cross over solutions with a differing number of variables (%d and %d)", v1.size(), v2.size());


116  return GENOPER_OPFAIL;


117  }


118 


119  GenoOperators::linearMix(v1, v2, proportion);


120 


121  string saved = GenoConv_fn0::vectorToString(v1);


122  free(g1);


123  g1 = strdup(saved.c_str()); //reallocate


124  saved = GenoConv_fn0::vectorToString(v2);


125  free(g2);


126  g2 = strdup(saved.c_str()); //reallocate


127  return GENOPER_OK;


128  }


129 


130  ///Applying some colors and font styles...


131  uint32_t GenoOper_fn::style(const char *g, int pos)


132  {


133  char ch = g[pos];


134  uint32_t style = GENSTYLE_CS(0, GENSTYLE_INVALID); //default, should be changed below


135  if (strchr(".e 0123456789", ch) != NULL)


136  style = GENSTYLE_CS(GENCOLOR_NUMBER, GENSTYLE_NONE);


137  else if (strchr("[,]", ch) != NULL)


138  style = GENSTYLE_RGBS(0, 0, 0, GENSTYLE_BOLD);


139  return style;


140  }

