Changeset 968 for cpp/frams/genetics/genooperators.h

Timestamp:

06/30/20 00:30:39 (4 years ago)

Author:

Maciej Komosinski

Message:

Introduced a separate function to mutate neuron connection weight

File:

• cpp/frams/genetics/genooperators.h (modified) (2 diffs)

cpp/frams/genetics/genooperators.h

@@ -187 +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).
         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.
-        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).
+        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.
+        static double getMutatedNeuronConnectionWeight(double current); ///<returns mutated value of \e current.
         static bool mutatePropertyNaive(ParamInterface &p, int propindex); ///<creep-mutate selected property. Returns true when success. mutateProperty() should be used instead of this function.
         static bool mutateProperty(ParamInterface &p, int propindex); ///<like mutatePropertyNaive(), but uses special probability distributions for some neuron properties.
@@ -216 +217 @@
 };
 
-
-//
-// custom distributions for mutations of various parameters
-//
-/*
-static double distrib_weight[]=
-{
-5,                 // distribution -999 _-^_^-_ +999
--999, 999,         // each weight value may be useful, especially...
--5, -0.3,        // ...little non-zero values
--3, -0.6,
-0.6, 3,
-0.3, 5,
-};
-*/
-
 #endif