LSParam Class¶

class localsolver.LSParam¶: 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.

Summary¶

Methods¶
`GetLocalSolver`	Returns the LocalSolver object associated to these parameters.
`SetSeed`	Sets the seed of the pseudo-random number generator used by the solver.
`GetSeed`	Gets the seed of the pseudo-random number generator used by the solver.
`SetNbThreads`	Sets the number of threads used to parallelize the search.
`GetNbThreads`	Gets the number of threads.
`SetTimeLimit`	Sets the time limit in seconds.
`GetTimeLimit`	Gets the time limit in seconds.
`SetIterationLimit`	Sets the maximum number of iterations.
`GetIterationLimit`	Gets the maximum number of iterations.
`SetAnnealingLevel`	Sets the simulated annealing levelDeprecated since version 8.5: The annealing level doesn’t have a significant influence on the search anymore.
`GetAnnealingLevel`	Gets the simulated annealing levelDeprecated since version 8.5: The annealing level doesn’t have a significant influence on the search anymore.
`SetVerbosity`	Sets the verbosity level of the solver.
`GetVerbosity`	Gets the verbosity level of the solver.
`SetTimeBetweenDisplays`	Sets the time in seconds between two consecutive displays in console while the solver is running.
`GetTimeBetweenDisplays`	Gets the time in seconds between two consecutive displays in console while the solver is running.
`SetTimeBetweenTicks`	Sets the time in seconds between two events of type LSCallbackType.TimeTicked.
`GetTimeBetweenTicks`	Gets the time in seconds between two events of type LSCallbackType.TimeTicked.
`SetIterationBetweenTicks`	Sets the number of iterations between two events of type LSCallbackType.IterationTicked.
`GetIterationBetweenTicks`	Gets the number of iterations between two events of type LSCallbackType.IterationTicked.
`SetLogWriter`	Sets the writer used by LocalSolver for its logging.
`GetLogWriter`	Returns the writer used by LocalSolver for its logging.
`SetLogFile`	Sets the path of the LocalSolver log file.
`GetLogFile`	Returns the path of the LocalSolver log file.
`SetObjectiveThreshold`	Sets the threshold of the objective with the given index.
`SetIntObjectiveThreshold`	Sets the threshold of the objective with the given index.
`SetDoubleObjectiveThreshold`	Sets the threshold of the objective with the given index.
`GetObjectiveThreshold`	Gets the threshold of the objective with the given index.
`GetIntObjectiveThreshold`	Gets the threshold of the objective with the given index.
`GetDoubleObjectiveThreshold`	Gets the threshold of the objective with the given index.
`SetAdvancedParam`	Reserved for maintenance purpose.
`GetAdvancedParam`	Reserved for maintenance purpose.
`ToString`	Returns a string representation of these parameters.

Instance methods¶

LocalSolver GetLocalSolver()¶

Returns the LocalSolver object associated to these parameters.

Returns: LocalSolver object
Return type: LocalSolver

void SetSeed(int seed)¶

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 states Modeling or 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.

Arguments: seed (int) – Seed of the pseudo-random number generator.

int GetSeed()¶

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

Returns: Seed of the pseudo-random number generator.
See: LSParam.SetSeed

void SetNbThreads(int nbThreads)¶

Sets the number of threads used to parallelize the search. The number of threads must be a positive integer. The default number of threads is set to 0 which means that the number of threads is automatically adapted to your computer and to your optimization model. Only allowed in states Modeling or Stopped.

This parameter is indicative, if needed LocalSolver may use more threads. The actual number of threads can also vary during the search.

Arguments: nbThreads (int) – Number of threads.

int GetNbThreads()¶

Gets the number of threads. By convention, value 0 means that the number of threads is automatically adapted to your computer and to your optimization model.

Returns: Number of threads.
See: LSParam.SetNbThreads

void SetTimeLimit(int timeLimit)¶

Sets the time limit in seconds. Only allowed in states Modeling or Stopped.

This is not allowed if you have defined multiple phases. Use LSPhase.SetTimeLimit to set the limit for each phase instead.

Arguments: timeLimit (int) – Time limit in seconds.
See: LSPhase

int GetTimeLimit()¶

Gets the time limit in seconds.

This is not allowed if you have defined multiple phases. Use LSPhase.GetTimeLimit instead.

Returns: Time limit in seconds.
See: LSParam.SetTimeLimit
See: LSPhase

void SetIterationLimit(long iterationLimit)¶

Sets the maximum number of iterations. Fixing the seed and the number of iterations ensures the reproducibility of results over several runs. Only allowed in states Modeling or Stopped.

Arguments: iterationLimit (long) – Iteration limit.
See: LSPhase

long GetIterationLimit()¶

Gets the maximum number of iterations.

Returns: Iteration limit.
See: LSParam.SetIterationLimit
See: LSPhase

void SetAnnealingLevel(int annealingLevel)¶

Sets the simulated annealing level

Deprecated since version 8.5: The annealing level doesn’t have a significant influence on the search anymore. The tuning of this parameter won’t be allowed in a future version.

The level must be an integer between 0 and 9. The default simulated annealing level is set to 1. Only allowed in states Modeling or Stopped.

Arguments: annealingLevel (int) – Simulated annealing level.

int GetAnnealingLevel()¶

Gets the simulated annealing level

Deprecated since version 8.5: The annealing level doesn’t have a significant influence on the search anymore. The tuning of this parameter won’t be allowed in a future version.

Returns: Simulated annealing level.
See: LSParam.SetAnnealingLevel

void SetVerbosity(int verbosity)¶

Sets the verbosity level of the solver. The default verbosity is set to 1. Only allowed in states Modeling or Stopped. 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.

Arguments: verbosity (int) – Verbosity level: 0, 1, 2.

int GetVerbosity()¶

Gets the verbosity level of the solver.

Returns: verbosity Verbosity level: 0, 1 or 2.
See: LSParam.SetVerbosity

void SetTimeBetweenDisplays(int timeBetweenDisplays)¶

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 states Modeling or Stopped.

Arguments: timeBetweenDisplays (int) – Time in seconds between displays.

int GetTimeBetweenDisplays()¶

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

Returns: Time in seconds between displays.
Return type: int
See: LSParam.SetTimeBetweenDisplays

void SetTimeBetweenTicks(int timeBetweenTicks)¶

Sets the time in seconds between two events of type LSCallbackType.TimeTicked. The default time between ticks is set to 1 second. Only allowed in states Modeling or Stopped.

Since: 6.0
Arguments: timeBetweenTicks (int) – Time in seconds between ticks.

int GetTimeBetweenTicks()¶

Gets the time in seconds between two events of type LSCallbackType.TimeTicked.

Since: 6.0
Returns: Time in seconds between ticks.
See: LSParam.SetTimeBetweenTicks

void SetIterationBetweenTicks(long iterationBetweenTicks)¶

Sets the number of iterations between two events of type LSCallbackType.IterationTicked. The default number of iterations between ticks is set to 10,000. Only allowed in states Modeling or Stopped.

Since: 6.0
Arguments: iterationBetweenTicks (long) – Number of iterations between ticks.

long GetIterationBetweenTicks()¶

Gets the number of iterations between two events of type LSCallbackType.IterationTicked.

Since: 6.0
Returns: Number of iterations between ticks.
See: LSParam.SetIterationBetweenTicks

void SetLogWriter(System.IO.TextWriter writer)¶

Sets the writer used by LocalSolver for its logging. The default is to log to the standard output. To tune the logging verbosity of the output, see SetVerbosity. Note that you can specify both the log writer and the log file by using the method SetLogFile.

Arguments: writer – Writer for the logging or null to disable logging.
Since: 9.5

System.IO.TextWriter GetLogWriter()¶

Returns the writer used by LocalSolver for its logging. The default value is initialized to the standard output, retrieved with Console.Out. If no console is available, logging is disabled.

To tune the logging verbosity of the output, see SetVerbosity.

Returns: The writer used by LocalSolver for its logging or null if logging is disabled.
Since: 9.5

void SetLogFile(string path)¶

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

Arguments: path (string) – Path of the log file. Leave empty to disable the logging mechanism.
See: LSParam.SetVerbosity
See: LSParam.GetLogFile

string GetLogFile()¶

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.
See: LSParam.SetLogFile

void SetObjectiveThreshold(int objectiveIndex, long threshold)¶

Sets the threshold 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) threshold is reached. It can be useful for goal programming. Only allowed in states Stopped.

This method has the same behavior as LSParam.SetIntObjectiveThreshold.

Since

8.5

Arguments

objectiveIndex (int) – Index of the objective.
threshold (long) – Objective threshold.

See

LSExpression.IsObjective

See

LSExpression.IsInt

void SetObjectiveThreshold(int objectiveIndex, double threshold)

Sets the threshold 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) threshold is reached. It can be useful for goal programming. Only allowed in states Stopped.

This method has the same behavior as LSParam.SetDoubleObjectiveThreshold.

Since

8.5

Arguments

objectiveIndex (int) – Index of the objective.
threshold (double) – Objective threshold.

See

LSExpression.IsObjective

See

LSExpression.IsDouble

void SetIntObjectiveThreshold(int objectiveIndex, long threshold)¶

Sets the threshold 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) threshold is reached. It can be useful for goal programming. Only allowed in states Stopped.

Since

8.5

Arguments

objectiveIndex (int) – Index of the objective.
threshold (long) – Objective threshold.

See

LSExpression.IsObjective

See

LSExpression.IsInt

void SetDoubleObjectiveThreshold(int objectiveIndex, double threshold)¶

Sets the threshold 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) threshold is reached. It can be useful for goal programming. Only allowed in states Stopped.

Since

8.5

Arguments

objectiveIndex (int) – Index of the objective.
threshold (double) – Objective threshold.

See

LSExpression.IsObjective

See

LSExpression.IsDouble

long GetObjectiveThreshold(int objectiveIndex)¶

Gets the threshold of the objective with the given index. Only allowed in states Paused or Stopped.

Since: 8.5
Arguments: objectiveIndex (int) – Index of the objective.
Returns: Objective threshold.
Return type: long
See: LSParam.SetObjectiveThreshold(int, long)

long GetIntObjectiveThreshold(int objectiveIndex)¶

Gets the threshold of the objective with the given index. Only allowed in states Paused or Stopped.

Since: 8.5
Arguments: objectiveIndex (int) – Index of the objective.
Returns: Objective threshold.
Return type: long
See: LSParam.SetIntObjectiveThreshold

double GetDoubleObjectiveThreshold(int objectiveIndex)¶

Gets the threshold of the objective with the given index. Only allowed in states Paused or Stopped.

Since: 8.5
Arguments: objectiveIndex (int) – Index of the objective.
Returns: Objective threshold.
Return type: double
See: LSParam.SetDoubleObjectiveThreshold

void SetAdvancedParam(string key, int value)¶

Reserved for maintenance purpose.

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 Modeling or Stopped.

Arguments

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

int GetAdvancedParam(string key)¶

Reserved for maintenance purpose.

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.

Arguments: key – Name of the parameter.
Returns: Value of the parameter.
See: LSParam.SetAdvancedParam(string, int)

int GetAdvancedParam(string key, int defaultValue)

Reserved for maintenance purpose.

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

Arguments

key (string) – Name of the parameter.
defaultValue (int) – Default value of the parameter.

See

LSParam.SetAdvancedParam(string, int)

void SetAdvancedParam(string key, double value)

Reserved for maintenance purpose.

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 Modeling or Stopped.

Arguments

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

double GetAdvancedParam(string key, double defaultValue)

Reserved for maintenance purpose.

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

Arguments

key (string) – Name of the parameter.
defaultValue (double) – Default value of the parameter.

See

LSParam.SetAdvancedParam(string, double)

void SetAdvancedParam(string key, string value)

Reserved for maintenance purpose.

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 Modeling or Stopped.

Arguments

key (string) – Name of the parameter.
value (string) – Value of the parameter.

string GetAdvancedParam(string key, string defaultValue)

Reserved for maintenance purpose.

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

Arguments

key (string) – Name of the parameter.
defaultValue (string) – Default value of the parameter.

See

LSParam.SetAdvancedParam(string, string)

string ToString()¶

Returns a string representation of these parameters. Useful for debugging or logging purposes.

Returns: String representation.