Changeset 762

Timestamp:

03/28/18 02:27:39 (7 years ago)

Author:

Maciej Komosinski

Message:

Default sample values for a 2D problem, not 1D; added documentation and a sample 2D fitness function; crossover better protected against different lengths of parent vectors

Location:

cpp/frams/genetics/fn

Files:

• oper_fn.cpp (modified) (3 diffs)
• oper_fn.h (modified) (1 diff)

cpp/frams/genetics/fn/oper_fn.cpp

@@ -8 +8 @@
 
 
+/**
+\class GenoOper_fn
+
+This genetic representation only stores a vector of real numbers. A fitness function must be provided
+for the gene pool, for example the "Booth function" would be:
+
+var X = String.deserialize(this.geno.rawgenotype); //a vector of real values
+var result = Math.pow(X[0]+2*X[1]-7,2) + Math.pow(2*X[0]+X[1]-5,2);
+return -result; //negation because Framsticks assumes maximization, and the original function needs to be minimized
+*/
+
+
+
 #define FIELDSTRUCT GenoOper_fn
 static ParamEntry GENOfnparam_tab[] =
@@ -13 +26 @@
         { "Genetics: fn", 1, 4, },
         { "fn_xover", 0, 0, "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).", },
-        { "fn_mut_bound_low", 1, 0, "Lower bounds for mutation", "s 0 0 [-1.0]", FIELD(mut_bound_low), "A vector of lower bounds (one real value for each variable)", },
-        { "fn_mut_bound_high", 1, 0, "Higher bounds for mutation", "s 0 0 [1.0]", FIELD(mut_bound_high), "A vector of higher bounds (one real value for each variable)", },
-        { "fn_mut_stddev", 1, 0, "Standard deviations for mutation", "s 0 0 [0.1]", FIELD(mut_stddev), "A vector of standard deviations (one real value for each variable)", },
+        { "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)", },
+        { "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)", },
+        { "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)", },
         { 0, },
 };
@@ -79 +92 @@
         //xover_proportion = 0.1; //testing...
 
+        chg1 = xover_proportion;
+        chg2 = 1 - xover_proportion;
+
         vector<double> v1 = GenoConv_fn0::stringToVector(g1);
         vector<double> v2 = GenoConv_fn0::stringToVector(g2);
 
-        chg1 = xover_proportion;
-        chg2 = 1 - xover_proportion;
+        if (v1.size() != v2.size())
+        {
+                logPrintf("GenoOper_fn", "crossOver", LOG_ERROR, "Tried to cross over solutions with a differing number of variables (%d and %d)", v1.size(), v2.size());
+                return GENOPER_OPFAIL;
+        }
 
         GenoOperators::linearMix(v1, v2, xover_proportion);

cpp/frams/genetics/fn/oper_fn.h

@@ -18 +18 @@
         int crossOver(char *&g1, char *&g2, float& chg1, float& chg2);
         uint32_t style(const char *g, int pos);
-        const char* getSimplest() { return "[0.0]"; }
+        const char* getSimplest() { return "[0.0, 0.0]"; } //should actually correspond in length to vectors in mut_bound_low, mut_bound_high, mut_stddev
 
         double xover_proportion;