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Patch of MutateESCovMA

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This commit is contained in:
Marcel Kronfeld
2011-04-05 11:43:28 +00:00
parent 732ed71b42
commit ee49a14ea3
1 changed files with 10 additions and 4 deletions
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14
src/eva2/server/go/operators/mutation/MutateESCovarianceMatrixAdaption.java
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@@ -23,7 +23,7 @@ public class MutateESCovarianceMatrixAdaption implements InterfaceMutation, java
protected int m_D; protected int m_D;
protected double[] m_Z; protected double[] m_Z;
protected double m_SigmaGlobal = 1; protected double m_SigmaGlobal = 1;
protected double m_InitSigmaScalar = 1; protected double m_InitSigmaScalar = -1;
protected double m_c; protected double m_c;
protected double cu; protected double cu;
protected double cov; protected double cov;
@@ -116,8 +116,14 @@ public class MutateESCovarianceMatrixAdaption implements InterfaceMutation, java
if (!(individual instanceof InterfaceESIndividual)) return; if (!(individual instanceof InterfaceESIndividual)) return;
double[] x = ((InterfaceESIndividual)individual).getDGenotype(); double[] x = ((InterfaceESIndividual)individual).getDGenotype();
double[][] ranges = ((InterfaceESIndividual)individual).getDoubleRange(); double[][] ranges = ((InterfaceESIndividual)individual).getDoubleRange();
this.m_Counter = this.m_frequency; this.m_Counter = this.m_frequency;
this.m_SigmaGlobal = this.m_InitSigmaScalar; if (m_InitSigmaScalar>0) this.m_SigmaGlobal = this.m_InitSigmaScalar;
else {
double avgRange = Mathematics.getAvgRange(ranges);
this.m_SigmaGlobal = 0.25*avgRange;
}
System.out.println("Init sigma: " + m_SigmaGlobal);
this.m_D = x.length; this.m_D = x.length;
this.m_C = Matrix.identity(this.m_D, this.m_D); this.m_C = Matrix.identity(this.m_D, this.m_D);
EigenvalueDecomposition helper = new EigenvalueDecomposition(this.m_C); EigenvalueDecomposition helper = new EigenvalueDecomposition(this.m_C);
@@ -260,7 +266,7 @@ public class MutateESCovarianceMatrixAdaption implements InterfaceMutation, java
if (x[i] < range[i][0] || x[i] > range[i][1]) { if (x[i] < range[i][0] || x[i] > range[i][1]) {
// undo the step and try new Z // undo the step and try new Z
for (int j = 0; j < this.m_D; j++) x[j] = oldX[j] - this.m_SigmaGlobal * this.Bz[j]; for (int j = 0; j < this.m_D; j++) x[j] = oldX[j] - this.m_SigmaGlobal * this.Bz[j];
this.m_Z[i] = RNG.gaussianDouble(1.0); // TODO is this feasible? mal mit rank-mu testen this.m_SigmaGlobal*=0.5;
isNewPosFeasible = false; isNewPosFeasible = false;
counter++; counter++;
break; break;
@@ -326,6 +332,6 @@ public class MutateESCovarianceMatrixAdaption implements InterfaceMutation, java
return this.m_InitSigmaScalar; return this.m_InitSigmaScalar;
} }
public String initSigmaScalarTipText() { public String initSigmaScalarTipText() {
return "Set the initial sigma value."; return "Set the initial sigma value, or -1 to use quarter average range of the problem.";
} }
} }