Detailed Description

Solving parameters.

This class contains some methods allowing you to parameterize the resolution of the model. For the sake of simplicity, only a few parameters are actually offered to tune the search.

Public Member Functions
void	SetSeed (int seed)
	Sets the seed of the pseudo-random number generator used by the solver.
int	GetSeed ()
	Gets the seed of the pseudo-random number generator used by the solver.
void	SetNbThreads (int nbThreads)
	Sets the number of threads used to parallelize the search.
int	GetNbThreads ()
	Gets the number of threads.
void	SetAnnealingLevel (int annealingLevel)
	Sets the simulated annealing level.
int	GetAnnealingLevel ()
	Gets the simulated annealing level.
void	SetVerbosity (int verbosity)
	Sets the verbosity level of the solver.
int	GetVerbosity ()
	Gets the verbosity level of the solver.
void	SetObjectiveBound (int objectiveIndex, long bound)
	Sets the bound of the objective with the given index.
void	SetObjectiveBound (int objectiveIndex, double bound)
	Sets the bound of the objective with the given index.
void	SetIntObjectiveBound (int objectiveIndex, long bound)
	Sets the bound of the objective with the given index.
void	SetDoubleObjectiveBound (int objectiveIndex, double bound)
	Sets the bound of the objective with the given index.
long	GetObjectiveBound (int objectiveIndex)
	Gets the bound of the objective with the given index.
long	GetIntObjectiveBound (int objectiveIndex)
	Gets the bound of the objective with the given index.
double	GetDoubleObjectiveBound (int objectiveIndex)
	Gets the bound of the objective with the given index.
void	SetTimeBetweenDisplays (int timeBetweenDisplays)
	Sets the time in seconds between two consecutive displays in console while the solver is running.
int	GetTimeBetweenDisplays ()
	Gets the time in seconds between two consecutive displays in console while the solver is running.
void	SetLogFile (string path)
	Sets the path of the LocalSolver log file.
string	GetLogFile ()
	Returns the path of the LocalSolver log file.
void	SetAdvancedParam (string key, int value)
	Sets the value of an advanced parameter.
int	GetAdvancedParam (string key)
	Returns the value of an advanced parameter.
int	GetAdvancedParam (string key, int defaultValue)
	Returns the value of an advanced parameter.
void	SetAdvancedParam (string key, string value)
	Sets the value of an advanced parameter.
string	GetAdvancedParam (string key, string defaultValue)
	Returns the value of an advanced parameter.
override string	ToString ()
	Returns a string representation of these parameters.

Member Function Documentation

void localsolver.LSParam.SetSeed ( int seed )

inline

Sets the seed of the pseudo-random number generator used by the solver.

The seed must be a positive integer. The default seed is set to 0. Only allowed in state LSState.Stopped. The search for solutions is highly randomized. Fixing the seed and the number of iterations of the solver allows you to reproduce exactly its results over several runs.

Parameters

seed	Seed of the pseudo-random number generator.

int localsolver.LSParam.GetSeed ( )

inline

Gets the seed of the pseudo-random number generator used by the solver.

Only allowed in states LSState.Paused or LSState.Stopped.

Returns: Seed of the pseudo-random number generator.

LSParam.SetSeed

void localsolver.LSParam.SetNbThreads ( int nbThreads )

inline

Sets the number of threads used to parallelize the search.

The number of threads must be a strictly positive integer. The default number of threads is set to 2. Only allowed in state LSState.Stopped. By increasing the number of threads, you increase the robustness of the solver (that is, the chance to find better solutions). However, we recommend you to avoid running a number of threads which exceeds the number of cores available on your machine. Since the performance of the solver is sensible to the number of cache misses, the recommended ratio for maximizing its efficiency is to launch at most k/2 searches with k the number of cores of your hardware.

Parameters

nbThreads Number of threads.

int localsolver.LSParam.GetNbThreads ( )

inline

Gets the number of threads.

Only allowed in states LSState.Paused or LSState.Stopped.

Returns: Number of threads.

LSParam.SetNbThreads

void localsolver.LSParam.SetAnnealingLevel ( int annealingLevel )

inline

Sets the simulated annealing level.

The level must be an integer between 0 and 9. The default simulated annealing level is set to 1. Only allowed in state LSState.Stopped. If set to 0, the search heuristic is equivalent to a standard descent: moves deteriorating the current solution are rejected. By increasing this parameter, you increase the number of uphill moves (that is, moves deteriorating the objective value of the current solution): this increases chances to reach better solutions (diversification), but slows the convergence of the search.

Parameters

annealingLevel Simulated annealing level.

int localsolver.LSParam.GetAnnealingLevel ( )

inline

Gets the simulated annealing level.

Only allowed in states LSState.Paused or LSState.Stopped.

Returns: Simulated annealing level.

LSParam.SetAnnealingLevel

void localsolver.LSParam.SetVerbosity ( int verbosity )

inline

Sets the verbosity level of the solver.

The default verbosity is set to 1. There are 3 defined verbosity levels :

0 : All the traces are disabled.
1 : Normal verbosity. This is the default level.
2 : Detailed verbosity. Displays statistics during the search.

Parameters

verbosity Verbosity level: 0, 1, 2.

int localsolver.LSParam.GetVerbosity ( )

inline

Gets the verbosity level of the solver.

Returns: verbosity Verbosity level: 0, 1 or 2.

LSParam.SetVerbosity

void localsolver.LSParam.SetObjectiveBound	(	int	objectiveIndex,
		long	bound
	)

inline

Sets the bound of the objective with the given index.

If the objective is minimized (resp. maximized), then the optimization of this objective is stopped as soon as this lower (resp. upper) bound is reached. It can be useful for goal programming. Only allowed in states LSState.Stopped. This method has the same behavior as SetIntObjectiveBound.

Parameters

objectiveIndex	Index of the objective.
bound	Objective bound.

LSExpression.IsObjective LSExpression.IsInt

void localsolver.LSParam.SetObjectiveBound	(	int	objectiveIndex,
		double	bound
	)

inline

Sets the bound of the objective with the given index.

If the objective is minimized (resp. maximized), then the optimization of this objective is stopped as soon as this lower (resp. upper) bound is reached. It can be useful for goal programming. Only allowed in states LSState.Stopped. This method has the same behavior as SetDoubleObjectiveBound.

Parameters

objectiveIndex	Index of the objective.
bound	Objective bound.

LSExpression.IsObjective LSExpression.IsDouble Since version 3.1

void localsolver.LSParam.SetIntObjectiveBound	(	int	objectiveIndex,
		long	bound
	)

inline

Sets the bound of the objective with the given index.

If the objective is minimized (resp. maximized), then the optimization of this objective is stopped as soon as this lower (resp. upper) bound is reached. It can be useful for goal programming. Only allowed in states LSState.Stopped.

Parameters

objectiveIndex	Index of the objective.
bound	Objective bound.

LSExpression.IsObjective LSExpression.IsInt Since version 3.0

void localsolver.LSParam.SetDoubleObjectiveBound	(	int	objectiveIndex,
		double	bound
	)

inline

Sets the bound of the objective with the given index.

If the objective is minimized (resp. maximized), then the optimization of this objective is stopped as soon as this lower (resp. upper) bound is reached. It can be useful for goal programming. Only allowed in states LSState.Stopped.

Parameters

objectiveIndex	Index of the objective.
bound	Objective bound.

LSExpression.IsObjective LSExpression.IsDouble Since version 3.0

long localsolver.LSParam.GetObjectiveBound ( int objectiveIndex )

inline

Gets the bound of the objective with the given index.

Only allowed in states LSState.Paused or LSState.Stopped.

Parameters

objectiveIndex Index of the objective.

Returns: Objective bound.

LSParam.SetObjectiveBound

long localsolver.LSParam.GetIntObjectiveBound ( int objectiveIndex )

inline

Gets the bound of the objective with the given index.

Only allowed in states LSState.Paused or LSState.Stopped.

Parameters

objectiveIndex Index of the objective.

Returns: Objective bound.

LSParam.SetObjectiveBound Since version 3.O

double localsolver.LSParam.GetDoubleObjectiveBound ( int objectiveIndex )

inline

Gets the bound of the objective with the given index.

Only allowed in states LSState.Paused or LSState.Stopped.

Parameters

objectiveIndex Index of the objective.

Returns: Objective bound.

LSParam.SetObjectiveBound Since version 3.0

void localsolver.LSParam.SetTimeBetweenDisplays ( int timeBetweenDisplays )

inline

Sets the time in seconds between two consecutive displays in console while the solver is running.

The default time between displays is set to 1 second. Only allowed in state LSState.Stopped.

Parameters

timeBetweenDisplays Time in seconds between displays.

int localsolver.LSParam.GetTimeBetweenDisplays ( )

inline

Gets the time in seconds between two consecutive displays in console while the solver is running.

Only allowed in states LSState.Paused or LSState.Stopped.

Returns: Time in seconds between displays.

LSParam.SetTimeBetweenDisplays

void localsolver.LSParam.SetLogFile ( string path )

inline

Sets the path of the LocalSolver log file.

If the path is empty, no log will be saved. To tune the logging verbosity, see SetVerbosity. Only allowed in states LSState.Stopped or LSState.Modeling.

Parameters

path	Path of the log file. Leave empty to disable the logging mechanism.

LSParam.SetVerbosity LSParam.GetLogFile

string localsolver.LSParam.GetLogFile ( )

inline

Returns the path of the LocalSolver log file.

If no log file was specified, an empty string is returned.

Returns: The path of the log file or an empty string.

LSParam.SetLogFile

void localsolver.LSParam.SetAdvancedParam	(	string	key,
		int	value
	)

inline

Sets the value of an advanced parameter.

Advanced parameters are reserved for fine tuning or debugging and should not be used by end-users. Only allowed in states LSState.Stopped.

Parameters

key	Name of the parameter.
value	Value of the parameter.

int localsolver.LSParam.GetAdvancedParam ( string key )

inline

Returns the value of an advanced parameter.

Advanced parameters are reserved for fine tuning or debugging and should not be used by end-users. Throws an exception if the parameter does not exist. Only allowed in states LSState.Paused or LSState.Stopped.

Parameters

key	Name of the parameter.

Returns: Value of the parameter.

LSParam.SetAdvancedParam

int localsolver.LSParam.GetAdvancedParam	(	string	key,
		int	defaultValue
	)

inline

Returns the value of an advanced parameter.

Advanced parameters are reserved for fine tuning or debugging and should not be used by end-users. A default value is returned if the parameter does not exist or if no value was set for this one.

Parameters

key	Name of the parameter.
defaultValue	Default value of the parameter.

LSParam.SetAdvancedParam

void localsolver.LSParam.SetAdvancedParam	(	string	key,
		string	value
	)

inline

Sets the value of an advanced parameter.

Advanced parameters are reserved for fine tuning or debugging and should not be used by end-users. Only allowed in states LSState.Stopped.

Parameters

key	Name of the parameter.
value	Value of the parameter.

string localsolver.LSParam.GetAdvancedParam	(	string	key,
		string	defaultValue
	)

inline

Returns the value of an advanced parameter.

Advanced parameters are reserved for fine tuning or debugging and should not be used by end-users. A default value is returned if the parameter does not exist or if no value was set for this one.

Parameters

key	Name of the parameter.
defaultValue	Default value of the parameter.

LSParam.SetAdvancedParam

override string localsolver.LSParam.ToString ( )

inline

Returns a string representation of these parameters.

Useful for debugging or logging purposes.

Returns: String representation.

Detailed Description

Public Member Functions

Member Function Documentation