Adding PBIL files - simple PBIL algorithm with simple additive update rule

This commit is contained in:
evomarc 2001-11-08 06:49:38 +00:00
commit 0816b742d9
5 changed files with 470 additions and 0 deletions

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eo/src/ga/eoPBILAdditive.h Normal file
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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
//-----------------------------------------------------------------------------
// eoPBILDistrib.h
// (c) Marc Schoenauer, Maarten Keijzer, 2001
/*
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2 of the License, or (at your option) any later version.
This library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
Contact: Marc.Schoenauer@polytechnique.fr
mkeijzer@dhi.dk
*/
//-----------------------------------------------------------------------------
#ifndef _eoPBILAdditive_H
#define _eoPBILAdditive_H
#include <eoDistribUpdater.h>
#include <ga/eoPBILDistrib.h>
/**
* Distribution Class for PBIL algorithm
* (Population-Based Incremental Learning, Baluja and Caruana 96)
*
* This class implements an extended update rule:
* in the original paper, the authors used
*
* p(i)(t+1) = (1-LR)*p(i)(t) + LR*best(i)
*
* here the same formula is applied, with some of the best individuals
* and for some of the worst individuals (with different learning rates)
*/
template <class EOT>
class eoPBILAdditive : public eoDistribUpdater<EOT>
{
public:
/** Ctor with parameters
* using the default values is equivalent to using eoPBILOrg
*/
eoPBILAdditive(double _LRBest, unsigned _nbBest = 1,
double _tolerance=0.0,
double _LRWorst = 0.0, unsigned _nbWorst = 0 ) :
maxBound(1.0-_tolerance), minBound(_tolerance),
LR(0.0), nbBest(_nbBest), nbWorst(_nbWorst)
{
if (nbBest+nbWorst == 0)
throw runtime_error("Must update either from best or from worst in eoPBILAdditive");
if (_nbBest)
{
lrb = _LRBest/_nbBest;
LR += _LRBest;
}
else
lrb=0.0; // just in case
if (_nbWorst)
{
lrw = _LRWorst/_nbWorst;
LR += _LRWorst;
}
else
lrw=0.0; // just in case
}
/** Update the distribution from the current population */
virtual void operator()(eoDistribution<EOT> & _distrib, eoPop<EOT>& _pop)
{
eoPBILDistrib<EOT>& distrib = dynamic_cast<eoPBILDistrib<EOT>&>(_distrib);
vector<double> & p = distrib.value();
unsigned i, popSize=_pop.size();
vector<const EOT*> result;
_pop.sort(result); // is it necessary to sort the whole population?
// but I'm soooooooo lazy !!!
for (unsigned g=0; g<distrib.size(); g++)
{
p[g] *= (1-LR); // relaxation
if (nbBest) // update from some of the best
for (i=0; i<nbBest; i++)
{
const EOT & best = (*result[i]);
if ( best[g] ) // if 1, increase proba
p[g] += lrb;
}
if (nbWorst)
for (i=popSize-1; i>=popSize-nbWorst; i--)
{
const EOT & best = (*result[i]);
if ( !best[g] ) // if 0, increase proba
p[g] += lrw;
}
// stay in [0,1] (possibly strictly due to tolerance)
p[g] = min(maxBound, p[g]);
p[g] = max(minBound, p[g]);
}
}
private:
double maxBound, minBound; // proba stay away from 0 and 1 by at least tolerance
double LR; // learning rate
unsigned nbBest; // number of Best individuals used for update
unsigned nbWorst; // number of Worse individuals used for update
double lrb, lrw; // "local" learning rates (see operator())
};
#endif

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eo/src/ga/eoPBILDistrib.h Normal file
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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
//-----------------------------------------------------------------------------
// eoPBILDistrib.h
// (c) Marc Schoenauer, 2001
/*
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2 of the License, or (at your option) any later version.
This library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
Contact: Marc.Schoenauer@inria.fr
*/
//-----------------------------------------------------------------------------
#ifndef _eoPBILDistrib_H
#define _eoPBILDistrib_H
#include <eoDistribution.h>
/**
* Distribution Class for PBIL algorithm
* (Population-Based Incremental Learning, Baluja and Caruana 96)
*
* It encodes a univariate distribution on the space of bitstrings,
* i.e. one probability for each bit to be one
*
* It is an eoValueParam<vector<double> > :
* the vector<double> stores the probabilities that each bit is 1
*
* It is still pure virtual, as the update method needs to be specified
*/
template <class EOT>
class eoPBILDistrib : public eoDistribution<EOT>,
public eoValueParam<vector<double> >
{
public:
/** Ctor with size of genomes, and update parameters */
eoPBILDistrib(unsigned _genomeSize) :
eoDistribution<EOT>(),
eoValueParam<vector<double> >(vector<double>(_genomeSize, 0.5), "Distribution"),
genomeSize(_genomeSize)
{}
/** the randomizer of indis */
virtual void operator()(EOT & _eo)
{
_eo.resize(genomeSize); // just in case
for (unsigned i=0; i<genomeSize; i++)
_eo[i] = eo::rng.flip(value()[i]);
_eo.invalidate(); // DO NOT FORGET!!!
}
/** update method - still PURE VIRTUAL */
// virtual void update(eoPop<EOT>&) = 0; // update from a population
/** Accessor to the genome size */
unsigned Size() {return genomeSize;}
/** printing... */
virtual void printOn(ostream& os) const
{
os << value().size() << ' ';
for (unsigned i=0; i<value().size(); i++)
os << value()[i] << ' ';
}
/** reading...*/
virtual void readFrom(istream& is)
{
unsigned sz;
is >> sz;
value().resize(sz);
unsigned i;
for (i = 0; i < sz; ++i)
{
double atom;
is >> atom;
value()[i] = atom;
}
}
unsigned int size() {return genomeSize;}
virtual string className() const {return "eoPBILDistrib";};
private:
unsigned genomeSize; // size of indis
};
#endif

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eo/src/ga/eoPBILOrg.h Normal file
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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
//-----------------------------------------------------------------------------
// eoPBILDistrib.h
// (c) Marc Schoenauer, Maarten Keijzer, 2001
/*
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2 of the License, or (at your option) any later version.
This library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
Contact: Marc.Schoenauer@polytechnique.fr
mkeijzer@dhi.dk
*/
//-----------------------------------------------------------------------------
#ifndef _eoPBILOrg_H
#define _eoPBILOrg_H
#include <eoDistribUpdater.h>
#include <ga/eoPBILDistrib.h>
/**
* Distribution Class for PBIL algorithm
* (Population-Based Incremental Learning, Baluja and Caruana 96)
*
* This class implements the update rule from the original paper:
*
* p(i)(t+1) = (1-LR)*p(i)(t) + LR*best(i)
*/
template <class EOT>
class eoPBILOrg : public eoDistribUpdater<EOT>
{
public:
/** Ctor with size of genomes, and update parameters */
eoPBILOrg(double _LR, double _tolerance=0.0 ) :
LR(_LR), maxBound(1.0-_tolerance), minBound(_tolerance)
{}
/** Update the distribution from the current population */
virtual void operator()(eoDistribution<EOT> & _distrib, eoPop<EOT>& _pop)
{
const EOT & best = _pop.best_element();
eoPBILDistrib<EOT>& distrib = dynamic_cast<eoPBILDistrib<EOT>&>(_distrib);
vector<double> & p = distrib.value();
for (unsigned g=0; g<distrib.size(); g++)
{
// double & r = value()[g];
p[g] *= (1-LR);
if ( best[g] )
p[g] += LR;
// else nothing
// stay away from 0 and 1
p[g] = min(maxBound, p[g]);
p[g] = max(minBound, p[g]);
}
}
private:
double LR; // learning rate for best guys
double maxBound, minBound; // proba stay away from 0 and 1 by at least tolerance
};
#endif

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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
//-----------------------------------------------------------------------------
// make_PBILdistrib.h
// (c) Marc Schoenauer, Maarten Keijzer, 2001
/*
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2 of the License, or (at your option) any later version.
This library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
Contact: Marc.Schoenauer@polytechnique.fr
mkeijzer@dhi.dk
*/
//-----------------------------------------------------------------------------
#ifndef _make_PBILdistrib_h
#define _make_PBILdistrib_h
#include <sys/time.h> // for time(0) for random seeding
#include <ga/eoPBILOrg.h>
#include <utils/eoRNG.h>
#include <utils/eoParser.h>
#include <utils/eoState.h>
//////////////////////////DISTRIB CONSTRUCTION ///////////////////////////////
/**
* Templatized version of parser-based construct of the distribution
* for PBIL distribution evolution algorithm
*
* It must then be instantiated, and compiled on its own for a given EOType
* (see test/t-eoPBIL.cpp
*
* Last argument is template-disambiguating
*/
template <class EOT>
eoPBILDistrib<EOT> & do_make_PBILdistrib(eoParser & _parser, eoState& _state, EOT)
{
// First the random seed
eoValueParam<uint32>& seedParam = _parser.createParam(uint32(0), "seed", "Random number seed", 'S');
if (seedParam.value() == 0)
seedParam.value() = time(0);
// the representation dependent stuff
unsigned chromSize = _parser.createParam(unsigned(10), "chromSize", "The length of the bitstrings", 'n',"Algorithm").value();
eoPBILDistrib<EOT> * ptDistrib = new eoPBILDistrib<EOT>(chromSize);
_state.storeFunctor(ptDistrib);
// now the initialization: read a previously saved distribution, or random
eoValueParam<string>& loadNameParam = _parser.createParam(string(""), "Load","A save file to restart from",'L', "Persistence" );
if (loadNameParam.value() != "") // something to load
{
// create another state for reading
eoState inState; // a state for loading - WITHOUT the parser
// register the rng and the distribution in the state,
// so they can be loaded,
// and the present run will be the exact continuation of the saved run
// eventually with different parameters
inState.registerObject(*ptDistrib);
inState.registerObject(rng);
inState.load(loadNameParam.value()); // load the distrib and the rng
}
else // nothing loaded from a file
{
rng.reseed(seedParam.value());
}
// for future stateSave, register the algorithm into the state
_state.registerObject(_parser);
_state.registerObject(*ptDistrib);
_state.registerObject(rng);
return *ptDistrib;
}
#endif

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// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
//-----------------------------------------------------------------------------
// make_PBILupdate.h
// (c) Marc Schoenauer, Maarten Keijzer, 2001
/*
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2 of the License, or (at your option) any later version.
This library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
Contact: Marc.Schoenauer@polytechnique.fr
mkeijzer@dhi.dk
*/
//-----------------------------------------------------------------------------
#ifndef _make_PBILupdate_h
#define _make_PBILupdate_h
#include <sys/time.h> // for time(0) for random seeding
#include <ga/eoPBILOrg.h>
#include <utils/eoRNG.h>
#include <utils/eoParser.h>
#include <utils/eoState.h>
///////CONSTRUCTION of PBIL distribution updaters/////////////////
/**
* Templatized version of parser-based construct of the update rule for PBIL
* distributions (see eoPBILDistrib.h)
*
* It must then be instantiated, and compiled on its own for a given EOType
* (see test/t-eoPBIL.cpp)
*
* Last argument is template-disambiguating
*/
template <class EOT>
eoDistribUpdater<EOT> & do_make_PBILupdate(eoParser & _parser, eoState& _state, EOT)
{
// ast the moment, a single update rule is available
// but at some point we'll have to choose among different rules
string UType = _parser.createParam(string("PBIL"), "updateRule", "Type of update rule (only PBIL additive at the moment)", 'U', "Algorithm").value();
unsigned nbBest = _parser.createParam(unsigned(1), "nbBest", "Number of good guys to update from", 'B', "Algorithm").value();
double LRBest = _parser.createParam(0.1, "LRBest", "Learning Rate (from best guys)", 'L', "Algorithm").value();
unsigned nbWorst = _parser.createParam(unsigned(0), "nbWorst", "Number of bad guys to update from", 'W', "Algorithm").value();
double LRWorst = _parser.createParam(0.01, "LRWorst", "Learning Rate (from best guys)", 'L', "Algorithm").value();
double tolerance = _parser.createParam(0.0, "tolerance", "Keeping away from 0 and 1", 't', "Algorithm").value();
// a pointer to choose among several possible types
eoDistribUpdater<EOT> * ptUpdate;
if (UType == string("PBIL"))
{
if ( (nbWorst == 0) && (nbBest == 1) )
ptUpdate = new eoPBILOrg<EOT>(LRBest, tolerance);
else
ptUpdate = new eoPBILAdditive<EOT>(LRBest, nbBest, tolerance, LRWorst, nbWorst);
}
else
throw runtime_error("Only PBIL additive update rule available at the moment");
// done: don't forget to store the allocated pointers
_state.storeFunctor(ptUpdate);
return *ptUpdate;
}
#endif