This page is for an old version of Hexaly Optimizer. We recommend that you update your version and read the documentation for the latest stable release.

LSPhase Class

class localsolver::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 objectives 0, ..., k-1 are declared, each objective i can be optimized while maintaining the values of objectives 0, ..., i-1 previously obtained and ignoring the values of objectives i+1, ..., k-1. During such an optimization phase, objective i is called the optimized objective.

At least one phase must be created to launch the solver. If you have only one objective to optimize, then create a phase, set the time or the number of iterations, and run the solver. By default, the optimized objective of a phase corresponds to the last objective declared in the model (in this case, all objectives of the model are optimized together).

Summary

Functions
setTimeLimit Sets the time limit of this phase in seconds.
getTimeLimit Gets the time limit of this phase in seconds.
setIterationLimit Sets the number of iterations of this phase.
getIterationLimit Gets the number of iterations of this phase.
setOptimizedObjective Sets the optimized objective of this phase.
getOptimizedObjective Gets the index of the optimized objective.
setEnabled Sets the enabled status of this phase.
isEnabled Returns true if the phase is enabled, False otherwise.
toString Returns a string representation of this phase.

Functions

void 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 only 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 state S_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.

int getTimeLimit() const

Gets the time limit of this phase in seconds.

Only allowed in states S_Paused or S_Stopped.

Return:Time limit in seconds.
See:setTimeLimit(int)

void setIterationLimit(long long iterationLimit)

Sets the number of iterations of this phase.

Fixing the seed and the number of iterations of all phases ensures the reproducibility of results over several runs. 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 state S_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.

long long getIterationLimit() const

Gets the number of iterations of this phase.

Only allowed in states S_Paused or S_Stopped.

Return:Iteration limit.
See:setIterationLimit

void 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 objectives 0, ..., k-1 are declared, each objective i can be optimized while maintaining the values of objectives 0, ..., i-1 previously obtained and ignoring the values of objectives i+1, ..., k-1. By default, the optimized objective corresponds to the last objective declared in the model. Only allowed in state S_Stopped.

Parameters:objectiveIndex - Index of the optimized objective.

int getOptimizedObjective() const

Gets the index of the optimized objective.

Only allowed in states S_Paused or S_Stopped.

Return:Index of the optimized objective.
See:setOptimizedObjective(int)

void 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 state S_Stopped.

Since:5.0
Parameters:enabled - True to enable the phase, False to disable it

bool isEnabled() const

Returns true if the phase is enabled, False otherwise.

Only allowed in states S_Paused or S_Stopped.

Return:True if phase is enabled
Since:5.0

std::string toString() const

Returns a string representation of this phase.

Useful for debugging or logging purposes.

Return:String representation.