class oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction extends java.lang.Object
{
private double valueRange;
private final boolean isRepairMode;
final oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer this$0;
public void <init>(oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer)
{
oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction v;
oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer v;
v := @this: oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction;
v := @parameter: oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer;
v.<oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction: oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer this$0> = v;
specialinvoke v.<java.lang.Object: void <init>()>();
v.<oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction: double valueRange> = 1.0;
v.<oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction: boolean isRepairMode> = 1;
return;
}
public double value(double[])
{
double[] v, v;
oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction v;
oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer v, v, v;
boolean v, v;
double v, v, v, v;
v := @this: oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction;
v := @parameter: double[];
v = v.<oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction: boolean isRepairMode>;
if v == 0 goto label;
v = specialinvoke v.<oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction: double[] repair(double[])>(v);
v = v.<oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction: oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer this$0>;
v = virtualinvoke v.<oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer: double computeObjectiveValue(double[])>(v);
v = specialinvoke v.<oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction: double penalty(double[],double[])>(v, v);
v = v + v;
goto label;
label:
v = v.<oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction: oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer this$0>;
v = virtualinvoke v.<oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer: double computeObjectiveValue(double[])>(v);
label:
v = v.<oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction: oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer this$0>;
v = v.<oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer: boolean isMinimize>;
if v == 0 goto label;
v = v;
goto label;
label:
v = neg v;
label:
return v;
}
public boolean isFeasible(double[])
{
double[] v, v, v;
byte v, v;
oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction v;
oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer v, v;
int v, v;
double v, v, v, v;
v := @this: oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction;
v := @parameter: double[];
v = v.<oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction: oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer this$0>;
v = virtualinvoke v.<oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer: double[] getLowerBound()>();
v = v.<oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction: oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer this$0>;
v = virtualinvoke v.<oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer: double[] getUpperBound()>();
v = 0;
label:
v = lengthof v;
if v >= v goto label;
v = v[v];
v = v[v];
v = v cmpg v;
if v >= 0 goto label;
return 0;
label:
v = v[v];
v = v[v];
v = v cmpl v;
if v <= 0 goto label;
return 0;
label:
v = v + 1;
goto label;
label:
return 1;
}
public void setValueRange(double)
{
oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction v;
double v;
v := @this: oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction;
v := @parameter: double;
v.<oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction: double valueRange> = v;
return;
}
private double[] repair(double[])
{
double[] v, v, v, v;
byte v, v;
int v, v, v;
double v, v, v, v, v, v, v;
oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction v;
oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer v, v;
v := @this: oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction;
v := @parameter: double[];
v = v.<oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction: oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer this$0>;
v = virtualinvoke v.<oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer: double[] getLowerBound()>();
v = v.<oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction: oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer this$0>;
v = virtualinvoke v.<oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer: double[] getUpperBound()>();
v = lengthof v;
v = newarray (double)[v];
v = 0;
label:
v = lengthof v;
if v >= v goto label;
v = v[v];
v = v[v];
v = v cmpg v;
if v >= 0 goto label;
v = v[v];
v[v] = v;
goto label;
label:
v = v[v];
v = v[v];
v = v cmpl v;
if v <= 0 goto label;
v = v[v];
v[v] = v;
goto label;
label:
v = v[v];
v[v] = v;
label:
v = v + 1;
goto label;
label:
return v;
}
private double penalty(double[], double[])
{
double[] v, v;
oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction v;
oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer v;
int v, v;
boolean v;
double v, v, v, v, v, v, v, v;
v := @this: oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction;
v := @parameter: double[];
v := @parameter: double[];
v = 0.0;
v = 0;
label:
v = lengthof v;
if v >= v goto label;
v = v[v];
v = v[v];
v = v - v;
v = staticinvoke <java.lang.Math: double abs(double)>(v);
v = v.<oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction: double valueRange>;
v = v * v;
v = v + v;
v = v + 1;
goto label;
label:
v = v.<oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer$FitnessFunction: oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer this$0>;
v = v.<oadd.org.apache.commons.math.optim.nonlinear.scalar.noderiv.CMAESOptimizer: boolean isMinimize>;
if v == 0 goto label;
v = v;
goto label;
label:
v = neg v;
label:
return v;
}
}