- Timestamp:
- 06/28/20 23:33:17 (4 years ago)
- Location:
- cpp/frams/genetics
- Files:
-
- 5 edited
Legend:
- Unmodified
- Added
- Removed
-
cpp/frams/genetics/f4/f4_oper.cpp
r957 r967 451 451 } 452 452 // weight 453 nn->f1 = GenoOperators:: mutateNeuronProperty(nn->f1, NULL, -1);453 nn->f1 = GenoOperators::getMutatedNeuroClassProperty(nn->f1, NULL, -1); 454 454 //nn->f1 = 10.0f * (rndDouble(1) - 0.5f); 455 455 } … … 488 488 break; 489 489 case 2: // change weight 490 nn->f1 = GenoOperators:: mutateNeuronProperty(nn->f1, NULL, -1);490 nn->f1 = GenoOperators::getMutatedNeuroClassProperty(nn->f1, NULL, -1); 491 491 //nn->f1 += 1.0f * (rndDouble(1) - 0.5f); 492 492 break; -
cpp/frams/genetics/fH/fH_oper.cpp
r960 r967 390 390 // if it is weight, then method needs to use mutateNeuProperty 391 391 double current = par.getDouble(id); 392 par.setDouble(id, mutateNeuronProperty(current, NULL, -1));392 par.setDouble(id, getMutatedNeuroClassProperty(current, NULL, -1)); 393 393 } 394 394 } … … 430 430 Neuro neu; 431 431 neu.setDetails(det == "" ? "N" : det); 432 GenoOperators::mutateRandomNeuro nOrNeuroclassProperty(&neu);432 GenoOperators::mutateRandomNeuroClassProperty(&neu); 433 433 det = neu.getDetails(); 434 434 } -
cpp/frams/genetics/fS/fS_oper.cpp
r958 r967 607 607 advance(it, rndUint(inputCount)); 608 608 609 it->second = GenoOperators:: mutateNeuronProperty(it->second, selectedNeuron, -1);609 it->second = GenoOperators::getMutatedNeuroClassProperty(it->second, selectedNeuron, -1); 610 610 return true; 611 611 } … … 680 680 if (*par.type(i) == 'f') 681 681 { 682 double change = GenoOperators:: mutateNeuronProperty(par.getDouble(i), neu, GenoOperators::NEUROCLASS_PROP_OFFSET + i);682 double change = GenoOperators::getMutatedNeuroClassProperty(par.getDouble(i), neu, GenoOperators::NEUROCLASS_PROP_OFFSET + i); 683 683 par.setDouble(i, change); 684 684 } -
cpp/frams/genetics/genooperators.cpp
r959 r967 76 76 } 77 77 78 bool GenoOperators::mutateRandomNeuro nOrNeuroclassProperty(Neuro* n)78 bool GenoOperators::mutateRandomNeuroClassProperty(Neuro* n) 79 79 { 80 80 bool mutated = false; 81 int prop = selectRandomNeuro nProperty(n);81 int prop = selectRandomNeuroClassProperty(n); 82 82 if (prop >= 0) 83 83 { 84 84 if (prop >= GenoOperators::NEUROCLASS_PROP_OFFSET) 85 85 { 86 SyntParam par = n->classProperties(); //commits changes when pis destroyed86 SyntParam par = n->classProperties(); //commits changes when this object is destroyed 87 87 mutated = mutateProperty(par, prop - GenoOperators::NEUROCLASS_PROP_OFFSET); 88 88 } … … 96 96 } 97 97 98 int GenoOperators::selectRandomNeuro nProperty(Neuro *n)98 int GenoOperators::selectRandomNeuroClassProperty(Neuro *n) 99 99 { 100 100 int neuext = n->extraProperties().getPropCount(), … … 106 106 } 107 107 108 double GenoOperators:: mutateNeuronProperty(double current, Neuro *n, int i)108 double GenoOperators::getMutatedNeuroClassProperty(double current, Neuro *n, int i) 109 109 { 110 110 if (i == -1) return mutateCreepNoLimit('f', current, 2, true); //i==-1: mutating weight of neural connection -
cpp/frams/genetics/genooperators.h
r959 r967 181 181 //@{ 182 182 183 static const int NEUROCLASS_PROP_OFFSET = 100; //a property is identified by some functions below as a single-value integer index, yet a property concerns either a Neuron or a NeuroClass, hence this offset to tell one case from the other.183 static const int NEUROCLASS_PROP_OFFSET = 100; //a NeuroClass property is identified by some functions below as a single-value integer index, yet a property is either "standard" or "extra" (two separate lists), hence this offset to tell one case from the other. 184 184 185 185 static int roulette(const double *probtab, const int count); ///<returns random index according to probabilities in the \e probtab table or -1 if all probs are zero. \e count is the number of elements in \e probtab. 186 186 static bool getMinMaxDef(ParamInterface *p, int propindex, double &mn, double &mx, double &def); ///<perhaps a more useful (higher-level) way to obtain min/max/def info for integer and double properties. Returns true if min/max/def was really available (otherwise it is just invented). 187 static bool mutateRandomNeuro nOrNeuroclassProperty(Neuro* n); ///<high-level neuron mutation function, will select and mutate a random property of a neuron or its neuroclass. Returns true if successful and some property was actually mutated. Could return false when the neuron and its neuroclasshave no properties, or when a randomly selected property was not suitable for mutation (for example a string or another non-number type).188 static int selectRandomNeuro nProperty(Neuro* n); ///<selects random property (either 0-based extraproperty of Neuro or NEUROCLASS_PROP_OFFSET-based property of its NeuroClass). -1 if Neurohas no properties.189 static double mutateNeuronProperty(double current, Neuro *n, int propindex); ///<returns value \e current mutated for the property \e propindex of NeuroClass \e nc or for extraproperty (\e propindex - NEUROCLASS_PROP_OFFSET) of Neuro. Neuro is used as read-only. Give \e propindex == -1 to mutate connection weight (\e nc isthen ignored).187 static bool mutateRandomNeuroClassProperty(Neuro* n); ///<high-level neuron mutation function, will select and mutate a random property of Neuron's NeuroClass. Returns true if successful and some property was actually mutated. Could return false when the NeuroClass of the Neuron have no properties, or when a randomly selected property was not suitable for mutation (for example a string or another non-number type). 188 static int selectRandomNeuroClassProperty(Neuro* n); ///<selects random property (either 0-based extraproperty of NeuroClass or NEUROCLASS_PROP_OFFSET-based standard property of NeuroClass). -1 if Neuroclass has no properties. 189 static double getMutatedNeuroClassProperty(double current, Neuro *n, int propindex); ///<returns value \e current mutated for the property \e propindex of Neuron's NeuroClass or for extraproperty (\e propindex - NEUROCLASS_PROP_OFFSET) of Neuron's NeuroClass. Neuro \e n is used as read-only. Use \e propindex == -1 to mutate connection weight (\e n and \e i are then ignored). 190 190 static bool mutatePropertyNaive(ParamInterface &p, int propindex); ///<creep-mutate selected property. Returns true when success. mutateProperty() should be used instead of this function. 191 191 static bool mutateProperty(ParamInterface &p, int propindex); ///<like mutatePropertyNaive(), but uses special probability distributions for some neuron properties. … … 207 207 static NeuroClass* parseNeuroClass(char *&s); ///<returns longest matching neuroclass or NULL if the string does not begin with a valid neuroclass name. Advances \e s pointer. 208 208 static Neuro* findNeuro(const Model *m, const NeuroClass *nc); ///<returns pointer to first Neuro of class \e nc, or NULL if there is no such Neuro. 209 static int neuroClassProp(char *&s, NeuroClass *nc, bool also_v1_N_props = false); ///<returns 0-based property number for \e neuroclass, NEUROCLASS_PROP_OFFSET-based extraproperty number for Neuro, or -1 if the string does not begin with a valid property name. Advance \e s pointer if success.209 static int neuroClassProp(char *&s, NeuroClass *nc, bool also_v1_N_props = false); ///<returns 0-based extraproperty of NeuroClass or NEUROCLASS_PROP_OFFSET-based standard property of NeuroClass, or -1 if the string does not begin with a valid property name. Advance \e s pointer if success. 210 210 static bool isWS(const char c); ///<is \e c a whitespace char? 211 211 static void skipWS(char *&s); ///<advances pointer \e s skipping whitespaces.
Note: See TracChangeset
for help on using the changeset viewer.