This repository has been archived on 2026-03-28. You can view files and clone it, but you cannot make any changes to its state, such as pushing and creating new issues, pull requests or comments.
eodev/eo/src/obsolete/eoLottery.h

105 lines
3.4 KiB
C++

// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
//-----------------------------------------------------------------------------
// eoLottery.h
// Implements the lottery procedure for selection
// (c) GeNeura Team, 1998 - Marc Schoenauer, 2000
/*
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: todos@geneura.ugr.es, http://geneura.ugr.es
*/
//-----------------------------------------------------------------------------
#ifndef eoLottery_h
#define eoLottery_h
//-----------------------------------------------------------------------------
#include <stdexcept> // logic_error
#include <utils/selectors.h> // sum_fitness
#include <eoFunctor.h>
// #include <functional> //
// #include <numeric> // accumulate
// #include <eo> // eoPop eoSelect MINFLOAT
//-----------------------------------------------------------------------------
/** eoLottery: a selection method. Puts into the output a group of individuals
selected using lottery; individuals with higher probability will have more
chances of being selected.
Requires EOT::Fitness to be float castable
*/
//-----------------------------------------------------------------------------
template<class EOT> class eoLottery: public eoBinaryFunctor<void, const eoPop<EOT>&, eoPop<EOT>& >
{
public:
/// (Default) Constructor.
eoLottery(const float& _rate = 1.0): eoBinPopOp<EOT>(), rate_(_rate)
{
if (minimizing_fitness<EOT>())
{
throw logic_error("eoLottery: minimizing fitness");
}
}
/** actually selects individuals from pop and pushes them back them into breeders
* until breeders has the right size: rate*pop.size()
* BUT what happens if breeders is already too big?
* Too big for what?
*/
void operator()(const eoPop<EOT>& pop, eoPop<EOT>& breeders)
{
size_t target = static_cast<size_t>(rate_ * pop.size());
/* Gustavo: uncomment this if it must be here
// test of consistency
if (breeders.size() >= target) {
throw("Problem in eoLottery: already too many offspring");
}
double total;
try
{
total = sum_fitness (pop);
}
catch (eoNegativeFitnessException&)
{ // say where it occured...
throw eoNegativeFitnessException(*this);
}
*/
double total = sum_fitness (pop);
// selection of chromosomes
while (breeders.size() < target)
{
breeders.push_back(roulette_wheel(pop, total));
}
}
double rate(void) const { return rate_; }
private:
double rate_; // selection rate
};
//-----------------------------------------------------------------------------
#endif eoLottery_h