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private=>protected for some methods

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This commit is contained in:
Michael de Paly
2010-02-11 01:05:23 +00:00
parent 952d3585a0
commit 569379d18f
1 changed files with 21 additions and 21 deletions
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42
src/eva2/server/go/operators/mutation/MutateESCovarianceMatrixAdaption.java
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@@ -19,25 +19,25 @@ import eva2.tools.math.Jama.Matrix;
public class MutateESCovarianceMatrixAdaption implements InterfaceMutation, java.io.Serializable {
private int m_D;
private double[] m_Z;
private double m_SigmaGlobal = 1;
private double m_InitSigmaScalar = 1;
private double m_c;
private double cu;
private double cov;
private double Beta;
private double[] s_N;
private double[] m_PathS;
public double[] Bz;
private double xi_dach;
private Matrix m_C;
private Matrix B;
private boolean m_CheckConstraints = false;
private int m_constraint = 20;
private int m_Counter;
private int m_frequency = 1;
private double[] m_Eigenvalues;
protected int m_D;
protected double[] m_Z;
protected double m_SigmaGlobal = 1;
protected double m_InitSigmaScalar = 1;
protected double m_c;
protected double cu;
protected double cov;
protected double Beta;
protected double[] s_N;
protected double[] m_PathS;
protected double[] Bz;
protected double xi_dach;
protected Matrix m_C;
protected Matrix B;
protected boolean m_CheckConstraints = false;
protected int m_constraint = 20;
protected int m_Counter;
protected int m_frequency = 1;
protected double[] m_Eigenvalues;
public MutateESCovarianceMatrixAdaption() {
@@ -158,7 +158,7 @@ public class MutateESCovarianceMatrixAdaption implements InterfaceMutation, java
// nothing to do here
}
private void adaptStrategy() {
protected void adaptStrategy() {
double Cij;
double Bz_d;
double pathLen = 0.0;
@@ -184,7 +184,7 @@ public class MutateESCovarianceMatrixAdaption implements InterfaceMutation, java
this.m_SigmaGlobal = this.m_SigmaGlobal * Math.exp(this.Beta * this.m_c * (Math.sqrt(pathLen) - this.xi_dach));;
}
private void evaluateNewObjectX(double[] x,double[][] range) {
protected void evaluateNewObjectX(double[] x,double[][] range) {
// if (Double.isNaN((x[0]))) System.out.println("treffer in cma "+ x[0]);
// if (Double.isNaN((m_C.get(0,0)))) System.out.println("treffer in cma");
// for (int i=0;i<N;i++) { // evaluate new random values