LSPhase Class¶
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class LSPhase¶
Optimization phase. Since LocalSolver allows lexicographic multiobjective optimization, we allow you to parameterize the time or the number of iterations to spend in optimizing each objective. When multiple objectives are declared, these objectives are optimized in lexicographic order (in the order of their declaration in the model). Thus, if
k
objectives0, ..., k-1
are declared, each objectivei
can be optimized while maintaining the values of objectives0, ..., i-1
previously obtained and ignoring the values of objectivesi+1, ..., k-1
. During such an optimization phase, objectivei
is called the optimized objective.
Summary¶
Sets the time limit of this phase in seconds. |
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Gets the time limit of this phase in seconds. |
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Sets the number of iterations of this phase. |
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Gets the number of iterations of this phase. |
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Sets the optimized objective of this phase. |
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Gets the index of the optimized objective. |
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Sets the enabled status of this phase. |
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Returns true if the phase is enabled, False otherwise. |
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Returns a string representation of this phase. |
Functions¶
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void LSPhase::setTimeLimit(int timeLimit)¶
Sets the time limit of this phase in seconds. Note that the “real” time (that is, total time) spent to resolve the model is considered here (and not the CPU time). The default time limit is set to the largest positive integer on 32 bits, that is
2^31-1 = 2,147,483,647 > 10^9
. Only allowed in statesS_Modeling
orS_Stopped
.Note that if the optimal value of an objective is found before the end of the corresponding phase, the remaining time will be transferred to the next phase.
- Parameters:
timeLimit – Time limit in seconds.
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int LSPhase::getTimeLimit() const¶
Gets the time limit of this phase in seconds.
- Returns:
Time limit in seconds.
- See:
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void LSPhase::setIterationLimit(long long iterationLimit)¶
Sets the number of iterations of this phase. The default number of iterations is set to the largest positive integer on 64 bits, that is
2^63-1 = 9,223,372,036,854,775,807 > 10^18
. Only allowed in statesS_Modeling
orS_Stopped
.Note that if the optimal value of an objective is found before the end of the corresponding phase, the remaining iterations will be transferred to the next phase.
- Parameters:
iterationLimit – Iteration limit.
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long long LSPhase::getIterationLimit() const¶
Gets the number of iterations of this phase.
- Returns:
Iteration limit.
- See:
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void LSPhase::setOptimizedObjective(int objectiveIndex)¶
Sets the optimized objective of this phase. When multiple objectives are declared, these objectives are optimized in lexicographic order (in the order of their declaration in the model). Thus, if
k
objectives0, ..., k-1
are declared, each objectivei
can be optimized while maintaining the values of objectives0, ..., i-1
previously obtained and ignoring the values of objectivesi+1, ..., k-1
. By default, the optimized objective corresponds to the last objective declared in the model. Only allowed in statesS_Modeling
orS_Stopped
.- Parameters:
objectiveIndex – Index of the optimized objective.
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int LSPhase::getOptimizedObjective() const¶
Gets the index of the optimized objective.
- Returns:
Index of the optimized objective.
- See:
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void LSPhase::setEnabled(bool enabled)¶
Sets the enabled status of this phase. The solver only optimize enabled phases. Disabling a phase can be useful when an objective has been removed from the model by
LSModel::removeObjective()
. By default, a phase is enabled. Only allowed in statesS_Modeling
orS_Stopped
.- Parameters:
enabled – True to enable the phase, False to disable it
- Since:
5.0