Evaluation

Classes
class	eoDualFitness< BaseType, Compare >
	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. More...
class	eoDualStatSwitch< EOT, EOSTAT >
	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. More...
class	eoEvalCounterThrowException< EOT >
class	eoEvalFunc< EOT >
	Evaluate: takes one EO and sets its "fitness" property returning this fitness also. More...
class	eoEvalFuncCounter< EOT >
	Counts the number of evaluations actually performed. More...
class	eoEvalFuncCounterBounderException
	The exception raised by eoEvalFuncCounterBounder when the maximum number of allowed evaluations is reached. More...
class	eoEvalFuncCounterBounder< EOT >
	Counts the number of evaluations actually performed and throw an eoEvalFuncCounterBounderException when the maximum number of allowed evaluations is reached. More...
struct	eoEvalFuncPtr< EOT, FitT, FunctionArg >
	EOEvalFuncPtr: This class takes an existing function pointer and converts it into a evaluation function class. More...
class	eoEvalTimeThrowException< EOT >
	Check at each evaluation if a given tie contract has been reached. More...
class	eoMaxTimeException
class	eoMaxEvalException
class	eoPopEvalFunc< EOT >
	eoPopEvalFunc: This abstract class is for GLOBAL evaluators of a population after variation. More...
class	eoPopLoopEval< EOT >
	eoPopLoopEval: an instance of eoPopEvalFunc that simply applies a private eoEvalFunc to all offspring More...
class	eoTimeVaryingLoopEval< EOT >
	eoPopLoopEval: an instance of eoPopEvalFunc that simply applies a private eoEvalFunc to all offspring AND ALL PARENTS as the fitness is supposed here to vary More...
class	eoScalarFitness< ScalarType, Compare >
	Wraps a scalar fitness values such as a double or int, with the option of maximizing (using less<ScalarType>) or minimizing (using greater<ScalarType>) More...
class	eoScalarFitnessAssembledTraits
	Defines properties of eoScalarFitnessAssembled. More...
class	eoScalarFitnessAssembled< ScalarType, Compare, FitnessTraits >
	Implements fitness as std::vector, storing all values that might occur during fitness assembly. More...
Typedefs
typedef eoDualFitness< double, std::less< double > >	eoMaximizingDualFitness
	Compare dual fitnesses as if we were maximizing.
typedef eoDualFitness< double, std::greater< double > >	eoMinimizingDualFitness
	Compare dual fitnesses as if we were minimizing.
typedef eoScalarFitness < double, std::less< double > >	eoMaximizingFitness
	Typedefs for fitness comparison, Maximizing Fitness compares with less, and minimizing fitness compares with greater.
typedef eoScalarFitness < double, std::greater< double > >	eoMinimizingFitness
typedef eoScalarFitnessAssembled < double, std::less< double > , eoScalarFitnessAssembledTraits >	eoAssembledMaximizingFitness
	Typedefs for fitness comparison, Maximizing Fitness compares with less, and minimizing fitness compares with greater.
typedef eoScalarFitnessAssembled < double, std::greater< double > , eoScalarFitnessAssembledTraits >	eoAssembledMinimizingFitness
Functions
template<class EOT >
bool	eoIsFeasible (const EOT &sol)
	A predicate that returns the feasibility of a given dual fitness.
template<class F , class Cmp >
std::ostream &	operator<< (std::ostream &os, const eoScalarFitness< F, Cmp > &f)
template<class F , class Cmp >
std::istream &	operator>> (std::istream &is, eoScalarFitness< F, Cmp > &f)
template<class F , class Cmp , class FitnessTraits >
std::ostream &	operator<< (std::ostream &os, const eoScalarFitnessAssembled< F, Cmp, FitnessTraits > &f)
template<class F , class Cmp , class FitnessTraits >
std::istream &	operator>> (std::istream &is, eoScalarFitnessAssembled< F, Cmp, FitnessTraits > &f)

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Typedef Documentation

typedef eoScalarFitness<double, std::less<double> > eoMaximizingFitness

Typedefs for fitness comparison, Maximizing Fitness compares with less, and minimizing fitness compares with greater.

This because we want ordinary fitness values (doubles) to be equivalent with Maximizing Fitness, and comparing with less is the default behaviour.

Definition at line 109 of file eoScalarFitness.h.

typedef eoScalarFitnessAssembled<double, std::less<double>, eoScalarFitnessAssembledTraits > eoAssembledMaximizingFitness

Typedefs for fitness comparison, Maximizing Fitness compares with less, and minimizing fitness compares with greater.

This because we want ordinary fitness values (doubles) to be equivalent with Maximizing Fitness, and comparing with less is the default behaviour.

Definition at line 253 of file eoScalarFitnessAssembled.h.

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Function Documentation

template<class EOT >

bool eoIsFeasible

(

const EOT &

sol

)

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.)

Definition at line 263 of file eoDualFitness.h.