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Added the crossover in make_op_es (parameters were read, but that's all!

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evomarc 2001-05-21 04:13:10 +00:00
commit 8b177dd6cd
6 changed files with 91 additions and 56 deletions
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65
eo/src/es/eoRealOp.h
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@ -301,12 +301,12 @@ template<class EOT> class eoSegmentCrossover: public eoQuadOp<EOT>
if (bounds.isMinBounded(i))
{
alphaMin = max(alphaMin, (bounds.minimum(i)-rmin)/length);
alphaMin = max(alphaMin, (rmax-bounds.maximum(i))/length);
alphaMax = min(alphaMax, (rmax-bounds.minimum(i))/length);
}
if (bounds.isMaxBounded(i))
{
alphaMax = min(alphaMax, (bounds.maximum(i)-rmin)/length);
alphaMax = min(alphaMax, (rmax-bounds.minimum(i))/length);
alphaMin = max(alphaMin, (rmax-bounds.maximum(i))/length);
}
}
}
@ -380,46 +380,67 @@ template<class EOT> class eoHypercubeCrossover: public eoQuadOp<EOT>
*/
bool operator()(EOT& _eo1, EOT& _eo2)
{
bool hasChanged = false;
unsigned i;
double r1, r2, fact;
if (alpha == 0.0) // no check to perform
for (i=0; i<_eo1.size(); i++)
{
r1=_eo1[i];
r2=_eo2[i];
fact = -alpha + rng.uniform(range); // in [-alpha,1+alpha)
_eo1[i] = fact * r1 + (1-fact) * r2;
_eo2[i] = (1-fact) * r1 + fact * r2;
}
else // check the bounds
{
r1=_eo1[i];
r2=_eo2[i];
if (r1 != r2) { // otherwise do nothing
fact = rng.uniform(range); // in [0,1)
_eo1[i] = fact * r1 + (1-fact) * r2;
_eo2[i] = (1-fact) * r1 + fact * r2;
hasChanged = true; // forget (im)possible alpha=0
}
}
else // check the bounds
// do not try to get a bound on the linear factor, but rather
// on the object variables themselves
for (i=0; i<_eo1.size(); i++)
{
r1=_eo1[i];
r2=_eo2[i];
if (r1 != r2) { // otherwise you'll get NAN's
if (r1 != r2) { // otherwise do nothing
double rmin = min(r1, r2);
double rmax = max(r1, r2);
double length = rmax - rmin;
double alphaMin = -alpha;
double alphaMax = 1+alpha;
// compute min and max for object variables
double objMin = -alpha * rmax + (1+alpha) * rmin;
double objMax = -alpha * rmin + (1+alpha) * rmax;
// first find the limits on the alpha's
if (bounds.isMinBounded(i))
{
alphaMin = max(alphaMin, (bounds.minimum(i)-rmin)/length);
alphaMin = max(alphaMin, (rmax-bounds.maximum(i))/length);
objMin = max(objMin, bounds.minimum(i));
}
if (bounds.isMaxBounded(i))
{
alphaMax = min(alphaMax, (bounds.maximum(i)-rmin)/length);
alphaMax = min(alphaMax, (rmax-bounds.minimum(i))/length);
objMax = min(objMax, bounds.maximum(i));
}
fact = alphaMin + rng.uniform(alphaMax-alphaMin);
_eo1[i] = fact * rmin + (1-fact) * rmax;
_eo2[i] = (1-fact) * rmin + fact * rmax;
// then draw variables
double median = (objMin+objMax)/2.0; // uniform within bounds
// double median = (rmin+rmax)/2.0; // Bounce on bounds
double valMin = objMin + (median-objMin)*rng.uniform();
double valMax = median + (objMax-median)*rng.uniform();
// don't always put large value in _eo1 - or what?
if (rng.flip(0.5))
{
_eo1[i] = valMin;
_eo2[i] = valMax;
}
else
{
_eo1[i] = valMax;
_eo2[i] = valMin;
}
// seomthing has changed
hasChanged = true; // forget (im)possible alpha=0
}
}
return true;
return hasChanged;
}
protected: