Class to represent a solution to the optimization problems in the tool. More...

#include <Solution.h>

Inheritance diagram for Solution< V, O >:

Public Member Functions
	Solution ()
	Creates a Solution with all parameters set to zero. More...

	Solution (const int &nVars, const int &nObjs)
	Creates a new solution with the given dimension (nVars) and nObjs number of objectives. More...

	Solution (const int &nVars, const int &nObjs, const int &nCons)
	Creates a new solution with the given dimension (nVars), nObjs number of objectives and nCons number of constraints. More...

	Solution (const Solution< V, O > &)
	Creates a new solution with the information from copy. More...

	Solution (const Solution< V, O > *)
	Creates a new solution with the information from the pointer to other solution. More...

Solution &	operator= (const Solution &copy)
	Copies a solution using the assignment operator. More...

bool	operator== (const Solution &other) const
	Compares whether two solutions are equal. More...

virtual const vector< O > &	getObjectives () const
	Returns the objective values of the solution. More...

virtual void	setObjectives (const vector< O > &objs)
	Updates the objective values of the solution. More...

virtual const vector< V > &	getVariables () const
	Get the variables of the solution. More...

virtual void	setVariables (const vector< V > &vars)
	Updates the variable values (dimension) of the solution. More...

virtual const vector< O > &	getConstraints () const
	Get the constraint values of the solution. More...

virtual void	setConstraints (const vector< O > &constr)
	Updates the constraints of the solution. More...

virtual int	getNumberOfVars () const
	Get the number of variables (dimension) of the solution. More...

virtual void	setNumberOfVars (const int &numberOfVars)
	Set the number of variables (dimension) of the solution. More...

virtual int	getNumberOfObjs () const
	Get the number of objectives of the solution. More...

virtual void	setNumberOfbjs (const int &numberOfObjs)
	Set the number of objectives of the solution. More...

virtual int	getNumberOfCons () const
	Get the number of constraint in the solution. More...

virtual void	setNumberOfCons (const int &nConstraints)
	Set the number of constraints of the solution. More...

virtual void	setRank (int id)
	Set the identifier of the solution in the population. Only used in the Non-Dominated Sorting operator. More...

virtual int	getRank () const
	Get the identifier of the solution in the population. Only used in the Non-Dominated Sorting operator. More...

virtual void	setCrowDistance (float d)
	Set the Crow Distance object. More...

virtual float	getCrowDistance () const
	Get the Crow Distance object. More...

virtual void	setVarAt (const int &, const V &v)
	Updates the ith variable of the solution with the value v. More...

virtual void	setObjAt (const int &, const O &obj)
	Updates the ith objective with the value obj. More...

virtual void	setConstAt (const int &, const O &cons)
	Updates the ith constraint value with the value. More...

virtual V	getVarAt (const int &index) const
	Returns the ith variable if its in the valid range. More...

virtual O	getObjAt (const int &index) const
	Returns the ith objective value if exists. More...

virtual O	getConstAt (const int &index) const
	Returns the ith constraint value if exists. More...

virtual float	getFitness () const
	Get the fitness of the solution. More...

virtual void	setFitness (const float &f)
	Set the fitness of the solution. More...

float	getConstraintCoeff () const
	Get the constraint coefficient of the solutions. This value means different for every problem. In most cases is the weighted sum of constraint violation values. More...

void	setConstraintCoeff (float constraintCoeff)
	Set the constraint coefficient value. More...

virtual json	to_json () const
	Creates and returns a JSON representation of the solution. More...

Protected Attributes
int	nVars

int	nObjs

int	nCons

float	fitness

float	constraintCoeff

vector< O >	objectives

vector< V >	variables

vector< O >	constraints

Detailed Description

template<typename V, typename O>
class Solution< V, O >

Class to represent a solution to the optimization problems in the tool.

Template Parameters

V	Type of the variables of the solution (float, bool, int, etc)
O	Type of the objectives of the solution (float, bool, int, etc)

Constructor & Destructor Documentation

◆ Solution() [1/5]

template<typename V , typename O >

Solution< V, O >::Solution

Creates a Solution with all parameters set to zero.

Template Parameters

V
O

◆ Solution() [2/5]

template<typename V , typename O >

Solution< V, O >::Solution	(	const int &	nVars,
		const int &	nObjs
	)

Creates a new solution with the given dimension (nVars) and nObjs number of objectives.

Template Parameters

V
O

Parameters

nVars
nObjs

◆ Solution() [3/5]

template<typename V , typename O >

Solution< V, O >::Solution	(	const int &	nVars,
		const int &	nObjs,
		const int &	nCons
	)

Creates a new solution with the given dimension (nVars), nObjs number of objectives and nCons number of constraints.

Template Parameters

V
O

Parameters

nVars
nObjs
nCons

◆ Solution() [4/5]

template<typename V , typename O >

Solution< V, O >::Solution ( const Solution< V, O > & copy )

Creates a new solution with the information from copy.

Template Parameters

V
O

Parameters

copy

◆ Solution() [5/5]

template<typename V , typename O >

Solution< V, O >::Solution ( const Solution< V, O > * copy )

Creates a new solution with the information from the pointer to other solution.

Template Parameters

V
O

Parameters

copy

Member Function Documentation

◆ getConstAt()

template<typename V , typename O >

O Solution< V, O >::getConstAt ( const int & index ) const

virtual

Returns the ith constraint value if exists.

Template Parameters

V
O

Parameters

index

Returns: O

◆ getConstraintCoeff()

template<typename V , typename O >

float Solution< V, O >::getConstraintCoeff ( ) const

inline

Get the constraint coefficient of the solutions. This value means different for every problem. In most cases is the weighted sum of constraint violation values.

Returns: float

◆ getConstraints()

template<typename V , typename O >

virtual const vector<O>& Solution< V, O >::getConstraints ( ) const

inlinevirtual

Get the constraint values of the solution.

Returns: const vector<O>&

◆ getCrowDistance()

template<typename V , typename O >

virtual float Solution< V, O >::getCrowDistance ( ) const

inlinevirtual

Get the Crow Distance object.

Returns: float

◆ getFitness()

template<typename V , typename O >

virtual float Solution< V, O >::getFitness ( ) const

inlinevirtual

Get the fitness of the solution.

Returns: float

◆ getNumberOfCons()

template<typename V , typename O >

virtual int Solution< V, O >::getNumberOfCons ( ) const

inlinevirtual

Get the number of constraint in the solution.

Returns: int

◆ getNumberOfObjs()

template<typename V , typename O >

virtual int Solution< V, O >::getNumberOfObjs ( ) const

inlinevirtual

Get the number of objectives of the solution.

Returns: int

◆ getNumberOfVars()

template<typename V , typename O >

virtual int Solution< V, O >::getNumberOfVars ( ) const

inlinevirtual

Get the number of variables (dimension) of the solution.

Returns: int

◆ getObjAt()

template<typename V , typename O >

O Solution< V, O >::getObjAt ( const int & index ) const

virtual

Returns the ith objective value if exists.

Template Parameters

V
O

Parameters

index

Returns: O

◆ getObjectives()

template<typename V , typename O >

virtual const vector<O>& Solution< V, O >::getObjectives ( ) const

inlinevirtual

Returns the objective values of the solution.

Returns: const vector<O>&

◆ getRank()

template<typename V , typename O >

virtual int Solution< V, O >::getRank ( ) const

inlinevirtual

Get the identifier of the solution in the population. Only used in the Non-Dominated Sorting operator.

Returns: unsigned int

◆ getVarAt()

template<typename V , typename O >

V Solution< V, O >::getVarAt ( const int & index ) const

virtual

Returns the ith variable if its in the valid range.

Template Parameters

V
O

Parameters

index

Returns: V

◆ getVariables()

template<typename V , typename O >

virtual const vector<V>& Solution< V, O >::getVariables ( ) const

inlinevirtual

Get the variables of the solution.

Returns: const vector<V>&

◆ operator=()

template<typename V , typename O >

Solution< V, O > & Solution< V, O >::operator= ( const Solution< V, O > & copy )

Copies a solution using the assignment operator.

Template Parameters

V
O

Parameters

copy

Returns: Solution<V, O>&

◆ operator==()

template<typename V , typename O >

bool Solution< V, O >::operator== ( const Solution< V, O > & other ) const

Compares whether two solutions are equal.

Template Parameters

V
O

Parameters

other

Returns: true; false

◆ setConstAt()

template<typename V , typename O >

void Solution< V, O >::setConstAt	(	const int &	index,
		const O &	value
	)

virtual

Updates the ith constraint value with the value.

Template Parameters

V
O

Parameters

index
value

◆ setConstraintCoeff()

template<typename V , typename O >

void Solution< V, O >::setConstraintCoeff ( float constraintCoeff )

inline

Set the constraint coefficient value.

Parameters

constraintCoeff

◆ setConstraints()

template<typename V , typename O >

void Solution< V, O >::setConstraints ( const vector< O > & constr )

virtual

Updates the constraints of the solution.

Template Parameters

V
O

Parameters

constr

◆ setCrowDistance()

template<typename V , typename O >

virtual void Solution< V, O >::setCrowDistance ( float d )

inlinevirtual

Set the Crow Distance object.

Parameters

d

◆ setFitness()

template<typename V , typename O >

virtual void Solution< V, O >::setFitness ( const float & f )

inlinevirtual

Set the fitness of the solution.

Parameters

f

◆ setNumberOfbjs()

template<typename V , typename O >

virtual void Solution< V, O >::setNumberOfbjs ( const int & numberOfObjs )

inlinevirtual

Set the number of objectives of the solution.

Parameters

numberOfObjs

◆ setNumberOfCons()

template<typename V , typename O >

virtual void Solution< V, O >::setNumberOfCons ( const int & nConstraints )

inlinevirtual

Set the number of constraints of the solution.

Parameters

nConstraints

◆ setNumberOfVars()

template<typename V , typename O >

virtual void Solution< V, O >::setNumberOfVars ( const int & numberOfVars )

inlinevirtual

Set the number of variables (dimension) of the solution.

Parameters

numberOfVars

◆ setObjAt()

template<typename V , typename O >

void Solution< V, O >::setObjAt	(	const int &	index,
		const O &	obj
	)

virtual

Updates the ith objective with the value obj.

Template Parameters

V
O

Parameters

index
obj

◆ setObjectives()

template<typename V , typename O >

void Solution< V, O >::setObjectives ( const vector< O > & objs )

virtual

Updates the objective values of the solution.

Template Parameters

V
O

Parameters

objs

◆ setRank()

template<typename V , typename O >

virtual void Solution< V, O >::setRank ( int id )

inlinevirtual

Set the identifier of the solution in the population. Only used in the Non-Dominated Sorting operator.

Parameters

id

◆ setVarAt()

template<typename V , typename O >

void Solution< V, O >::setVarAt	(	const int &	index,
		const V &	v
	)

virtual

Updates the ith variable of the solution with the value v.

Template Parameters

V
O

Parameters

index
v

◆ setVariables()

template<typename V , typename O >

void Solution< V, O >::setVariables ( const vector< V > & vars )

virtual

Updates the variable values (dimension) of the solution.

Template Parameters

V
O

Parameters

vars

◆ to_json()

template<typename V , typename O >

json Solution< V, O >::to_json

virtual

Creates and returns a JSON representation of the solution.

Template Parameters

V
O

Returns: a JSON object

Reimplemented in TSPInstance, KPInstance, BPPInstance, AbstractInstance< V, O >, AbstractInstance< float, float >, AbstractInstance< int, int >, and AbstractInstance< int, float >.

Member Data Documentation

◆ constraintCoeff

template<typename V , typename O >

float Solution< V, O >::constraintCoeff

protected

Coefficient of constraint violation.

◆ constraints

template<typename V , typename O >

vector<O> Solution< V, O >::constraints

protected

Constraint values of the solution

◆ fitness

template<typename V , typename O >

float Solution< V, O >::fitness

protected

Fitness value of the solution. Always float.

◆ nCons

template<typename V , typename O >

int Solution< V, O >::nCons

protected

Number of constraints of the solution.

◆ nObjs

template<typename V , typename O >

int Solution< V, O >::nObjs

protected

Number of objectives of the solution.

◆ nVars

template<typename V , typename O >

int Solution< V, O >::nVars

protected

Number of variables of the solution (dimension).

◆ objectives

template<typename V , typename O >

vector<O> Solution< V, O >::objectives

protected

Objective values of the solution

◆ variables

template<typename V , typename O >

vector<V> Solution< V, O >::variables

protected

Variable values of the solution (genotype)

The documentation for this class was generated from the following file:

include/dignea/core/Solution.h

Public Member Functions

Protected Attributes

Detailed Description

template<typename V, typename O> class Solution< V, O >

Constructor & Destructor Documentation

◆ Solution() [1/5]

◆ Solution() [2/5]

◆ Solution() [3/5]

◆ Solution() [4/5]

◆ Solution() [5/5]

Member Function Documentation

◆ getConstAt()

◆ getConstraintCoeff()

◆ getConstraints()

◆ getCrowDistance()

◆ getFitness()

◆ getNumberOfCons()

◆ getNumberOfObjs()

◆ getNumberOfVars()

◆ getObjAt()

◆ getObjectives()

◆ getRank()

◆ getVarAt()

◆ getVariables()

◆ operator=()

◆ operator==()

◆ setConstAt()

◆ setConstraintCoeff()

◆ setConstraints()

◆ setCrowDistance()

◆ setFitness()

◆ setNumberOfbjs()

◆ setNumberOfCons()

◆ setNumberOfVars()

◆ setObjAt()

◆ setObjectives()

◆ setRank()

◆ setVarAt()

◆ setVariables()

◆ to_json()

Member Data Documentation

◆ constraintCoeff

◆ constraints

◆ fitness

◆ nCons

◆ nObjs

◆ nVars

◆ objectives

◆ variables

template<typename V, typename O>
class Solution< V, O >