paradiseo/eo/src/eoDualFitness.h
Ronaldd Pinho aa5dbe82c6 Use relative includes in headers and absolute in code
- relative includes in headers
- absolute includes in exe code
- include sstream lib in eoExceptions.h
- fix ga/make_op_ga.cpp
- fix eoSGATransform.h
2019-12-06 15:15:22 +01:00

477 lines
15 KiB
C++
Raw Blame History

This file contains invisible Unicode characters

This file contains invisible Unicode characters that are indistinguishable to humans but may be processed differently by a computer. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

/*
(c) 2010 Thales group
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; version 2
of the License.
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: http://eodev.sourceforge.net
Authors:
Johann Dréo <johann.dreo@thalesgroup.com>
*/
#ifndef _eoDualFitness_h_
#define _eoDualFitness_h_
#include <functional>
#include <iostream>
#include <utility> // for std::pair
#include <string>
#include "utils/eoStat.h"
#include "utils/eoLogger.h"
/** @addtogroup Evaluation
* @{
*/
//! A fitness class that permits to compare feasible and unfeasible individuals and guaranties that a feasible individual will always be better than an unfeasible one.
/**
* Use this class as fitness if you have some kind of individuals
* that must be always considered as better than others while having the same fitness type.
*
* Wraps a scalar fitness _values such as a double or int, with the option of
* maximizing (using less<BaseType>, @see eoMaximizingDualFitness)
* or minimizing (using greater<BaseType>, @see eoMinimizingDualFitness).
*
* Suitable constructors, assignments and casts are defined to work
* with those quantities as if they were a pair of: a BaseType and a boolean.
*
* When changing the fitness, you can use:
* individual.fitness( std::make_pair<BaseType,bool>( fitness, feasibility ) );
*
* Be aware that, when printing or reading an eDualFitness instance on a iostream,
* friend IO classes use a space separator.
*
* This class overrides operator<() to use the Compare template argument and handle feasibility.
* Over operators are coded using this sole function.
*
* Standard arithmetic operators are provided to add or substract dual fitnesses.
* They behave as expected for the fitness value and gives priority to unfeasible fitness
* (i.e. when adding or substracting dual fitness, the only case when the result will be
* a feasible fitness is when both are feasible, else the result is an unfeasibe fitness)
*/
template <class BaseT, class Cmp >
class eoDualFitness
{
protected:
//! Scalar type of the fitness (generally a double)
BaseT _value;
//! Flag that marks if the individual is feasible
bool _is_feasible;
/** Flag to prevent partial initialization
*
* The reason behind the use of this flag is a bit complicated.
* Normally, we would not want to allow initialization on a scalar.
* But in MOEO, this would necessitate to re-implement most of the
* operator computing metrics, as they expect generic scalars.
*
* As this would be too much work, we use derived metric classes and
* overload them so that they initialize dual fitnesses with the
* feasibility flag. But the compiler still must compile the base
* methods, that use the scalar interface.
*
* Thus, eoDualFitness has a scalar interface, but this flag add a
* security against partial initialization. In DEBUG mode, asserts
* will fail if the feasibility has not been explicitly initialized
* at runtime.
*/
bool _feasible_init;
public:
typedef BaseT Base;
typedef Cmp Compare;
//! Empty initialization
/*!
* Unfeasible by default
*/
eoDualFitness() :
_value(0.0),
_is_feasible(false),
_feasible_init(false)
{}
//! Initialization with only the value, the fitness will be unfeasible.
/*!
* WARNING: this is what is used when you initialize a new fitness from a double.
* If you use this interface, you MUST set the feasibility BEFORE
* asking for it or the value. Or else, an assert will fail in debug mode.
*/
eoDualFitness( const double value ) :
_value(value),
_is_feasible(false),
_feasible_init(false)
{}
//! Copy constructor
eoDualFitness(const eoDualFitness& other) :
_value(other._value),
_is_feasible(other._is_feasible),
_feasible_init(other._feasible_init)
{}
//! Constructor from explicit value/feasibility
eoDualFitness(const BaseT& v, const bool& is_feasible) :
_value(v),
_is_feasible(is_feasible),
_feasible_init(true)
{}
//! From a std::pair (first element is the value, second is the feasibility)
eoDualFitness(const std::pair<BaseT,bool>& dual) :
_value(dual.first),
_is_feasible(dual.second),
_feasible_init(true)
{}
/** Conversion operator: it permits to use a fitness instance as its scalar
* type, if needed. For example, this is possible:
* eoDualFitness<double,std::less<double> > fit;
* double val = 1.0;
* val = fit;
*/
operator BaseT(void) const { return _value; }
inline bool is_feasible() const
{
assert( _feasible_init );
return _is_feasible;
}
//! Explicitly set the feasibility. Useful if you have used previously the instantiation on a single scalar.
inline void is_feasible( bool feasible )
{
this->_is_feasible = feasible;
this->_feasible_init = true;
}
inline BaseT value() const
{
assert( _feasible_init );
return _value;
}
//! Comparison that separate feasible individuals from unfeasible ones. Feasible are always better
/*!
* Use less as a default comparison operator
* (see the "Cmp" template of the class to change this behaviour,
* @see eoMinimizingDualFitness for an example).
*/
bool operator<(const eoDualFitness& other) const
{
// am I better (less, by default) than the other ?
// if I'm feasible and the other is not
if( this->is_feasible() && !other.is_feasible() ) {
// no, the other has a better fitness
return false;
} else if( !this->is_feasible() && other.is_feasible() ) {
// yes, a feasible fitness is always better than an unfeasible one
return true;
} else {
// the two fitness are of the same type
// lets rely on the comparator
return Cmp()(_value, other._value);
}
}
//! Greater: if the other is lesser than me
bool operator>( const eoDualFitness& other ) const { return other < *this; }
//! Less or equal: if the other is not lesser than me
bool operator<=( const eoDualFitness& other ) const { return !(other < *this); }
//! Greater or equal: if the other is not greater than me
bool operator>=(const eoDualFitness& other ) const { return !(*this < other); }
//! Equal: if the other is equal to me
bool operator==(const eoDualFitness& other) const { return ( this->is_feasible() == other.is_feasible() ) && ( _value == other._value ); }
public:
/* FIXME it would be better to raise errors (or warnings) if one try to apply arithmetics operators between feasible
* and unfeasible fitnesses. This necessitates to add wrappers for operators that aggregates sets of dual fitnesses
* (like eoStat), both for separating feasibility and for aggregating them.
*/
// NOTE: we cannot declare this set of operator classes as friend, because there is two differerent templated classes declared later
// (for minimizing and maximizing)
//! Add a given fitness to the current one
template<class T>
eoDualFitness<BaseT,Cmp> & operator+=( const T that )
{
this->_value += that;
return *this;
}
//! Add a given fitness to the current one
eoDualFitness<BaseT,Cmp> & operator+=( const eoDualFitness<BaseT,Cmp> & that )
{
// from._value += that._value;
this->_value += that._value;
// true only if the two are feasible, else false
this->_is_feasible = this->_is_feasible && that._is_feasible;
// If the other was not correctly initialized
this->_feasible_init = that._feasible_init;
return *this;
}
//! Substract a given fitness to the current one
template<class T>
eoDualFitness<BaseT,Cmp> & operator-=( const T that )
{
this->_value -= that;
return *this;
}
//! Substract a given fitness to the current one
eoDualFitness<BaseT,Cmp> & operator-=( const eoDualFitness<BaseT,Cmp> & that )
{
this->_value -= that._value;
// true only if the two are feasible, else false
this->_is_feasible = this->_is_feasible && that._is_feasible;
// If the other was not correctly initialized
this->_feasible_init = that._feasible_init;
return *this;
}
//! Add a given fitness to the current one
template<class T>
eoDualFitness<BaseT,Cmp> & operator/=( T that )
{
this->_value /= that;
return *this;
}
//! Add a given fitness to the current one
eoDualFitness<BaseT,Cmp> & operator/=( const eoDualFitness<BaseT,Cmp> & that )
{
this->_value /= that._value;
// true only if the two are feasible, else false
this->_is_feasible = this->_is_feasible && that._is_feasible;
// If the other was not correctly initialized
this->_feasible_init = that._feasible_init;
return *this;
}
template<class T>
eoDualFitness<BaseT,Cmp> operator+( T that )
{
this->_value += that;
return *this;
}
// Add this fitness's value to that other, and return a _new_ instance with the result.
eoDualFitness<BaseT,Cmp> operator+( const eoDualFitness<BaseT,Cmp> & that )
{
eoDualFitness<BaseT,Cmp> from( *this );
return from += that;
}
template<class T>
eoDualFitness<BaseT,Cmp> operator-( T that )
{
this->_value -= that;
return *this;
}
// Add this fitness's value to that other, and return a _new_ instance with the result.
eoDualFitness<BaseT,Cmp> operator-( const eoDualFitness<BaseT,Cmp> & that )
{
eoDualFitness<BaseT,Cmp> from( *this );
return from -= that;
}
template<class T>
eoDualFitness<BaseT,Cmp> operator/( T that )
{
this->_value /= that;
return *this;
}
// Add this fitness's value to that other, and return a _new_ instance with the result.
eoDualFitness<BaseT,Cmp> operator/( const eoDualFitness<BaseT,Cmp> & that )
{
eoDualFitness<BaseT,Cmp> from( *this );
return from /= that;
}
//! Print an eoDualFitness instance as a pair of numbers, separated by a space
friend
std::ostream& operator<<( std::ostream& os, const eoDualFitness<BaseT,Cmp> & fitness )
{
if( fitness._feasible_init ) {
os << fitness._value << " " << fitness.is_feasible();
} else {
os << fitness._value << " ?";
}
return os;
}
//! Read an eoDualFitness instance as a pair of numbers, separated by a space
friend
std::istream& operator>>( std::istream& is, eoDualFitness<BaseT,Cmp> & fitness )
{
BaseT value;
is >> value;
bool feasible;
is >> feasible;
fitness._value = value;
fitness.is_feasible( feasible );
return is;
}
};
//! Compare dual fitnesses as if we were maximizing
typedef eoDualFitness<double, std::less<double> > eoMaximizingDualFitness;
//! Compare dual fitnesses as if we were minimizing
typedef eoDualFitness<double, std::greater<double> > eoMinimizingDualFitness;
//! A predicate that returns the feasibility of a given dual fitness
/** Use this in STL algorithm that use binary predicates (e.g. count_if, find_if, etc.)
*/
template< class EOT>
bool eoIsFeasible ( const EOT & sol ) { return sol.fitness().is_feasible(); }
/** Separate the population into two: one with only feasible individuals, the other with unfeasible ones.
*/
template<class EOT>
class eoDualPopSplit : public eoUF<const eoPop<EOT>&, void>
{
protected:
eoPop<EOT> _pop_feasible;
eoPop<EOT> _pop_unfeasible;
public:
//! Split the pop and keep them in members
void operator()( const eoPop<EOT>& pop )
{
_pop_feasible.clear();
_pop_feasible.reserve(pop.size());
_pop_unfeasible.clear();
_pop_unfeasible.reserve(pop.size());
for( typename eoPop<EOT>::const_iterator ieot=pop.begin(), iend=pop.end(); ieot!=iend; ++ieot ) {
/*
if( ieot->invalid() ) {
eo::log << eo::errors << "ERROR: trying to access to an invalid fitness" << std::endl;
}
*/
if( ieot->fitness().is_feasible() ) {
_pop_feasible.push_back( *ieot );
} else {
_pop_unfeasible.push_back( *ieot );
}
}
}
//! Merge feasible and unfeasible populations into a new one
eoPop<EOT> merge() const
{
eoPop<EOT> merged;
merged.reserve( _pop_feasible.size() + _pop_unfeasible.size() );
std::copy( _pop_feasible.begin(), _pop_feasible.end(), std::back_inserter<eoPop<EOT> >(merged) );
std::copy( _pop_unfeasible.begin(), _pop_unfeasible.end(), std::back_inserter<eoPop<EOT> >(merged) );
return merged;
}
eoPop<EOT>& feasible() { return _pop_feasible; }
eoPop<EOT>& unfeasible() { return _pop_unfeasible; }
};
/** Embed two eoStat and call the first one on the feasible individuals and
* the second one on the unfeasible ones, merge the two resulting value in
* a string, separated by a given marker.
*/
template<class EOSTAT>
class eoDualStatSwitch : public eoStat< typename EOSTAT::EOType, std::string >
{
public:
typedef typename EOSTAT::EOType EOType;
protected:
EOSTAT & _stat_feasible;
EOSTAT & _stat_unfeasible;
std::string _sep;
eoDualPopSplit<EOType> _pop_split;
public:
using eoStat<EOType,std::string>::value;
eoDualStatSwitch( EOSTAT & stat_feasible, EOSTAT & stat_unfeasible, std::string sep=" " ) :
eoStat<EOType,std::string>(
"?"+sep+"?",
stat_feasible.longName()+sep+stat_unfeasible.longName()
),
_stat_feasible(stat_feasible),
_stat_unfeasible(stat_unfeasible),
_sep(sep)
{ }
virtual void operator()( const eoPop<EOType> & pop )
{
// create two separated pop in this operator
_pop_split( pop );
std::ostringstream out;
// do not call stat if the pop is empty
// and it can be, because of the split
if( _pop_split.feasible().size() > 0 ) {
_stat_feasible( _pop_split.feasible() );
out << _stat_feasible.value();
} else {
out << "?";
}
out << _sep;
if( _pop_split.unfeasible().size() > 0 ) {
_stat_unfeasible( _pop_split.unfeasible() );
out << _stat_unfeasible.value();
} else {
out << "?";
}
value() = out.str();
}
};
/** @} */
#endif // _eoDualFitness_h_