Package jline.opt

Class OptimizationProblem

java.lang.Object

jline.opt.OptimizationProblem

public class OptimizationProblem
extends Object

Declarative specification of a queueing-network optimization problem: a LINE model, decision variables, an objective, constraints, optional fixed variables (for decomposition) and optional workload scenarios (for robust optimization). Mirrors native-Python line_solver.opt.problem.OptimizationProblem.

The model may be a flat Network or a LayeredNetwork (LQN); an LQN takes the SolverLN evaluation path and accepts LQN decision variables only (see LqnAdapter). Workload scenarios are supported for flat models only.

Constructor Summary

Constructors

Constructor	Description
OptimizationProblem(LayeredNetwork lqnModel)
OptimizationProblem(Network model)

Method Summary

Modifier and Type	Method	Description
OptimizationProblem	addConstraint(Constraint constraint)
OptimizationProblem	addScenario(Network scenarioModel, double weight)
OptimizationProblem	addVariable(DecisionVariable variable)
DecompositionWorkflow	decompose()	Create a decomposition workflow for this problem.
List<Constraint>	getConstraints()
List<Pair<DecisionVariable,Object>>	getFixedVariables()
LayeredNetwork	getLqnModel()	The LQN model, or null when the problem is flat.
Network	getModel()	The flat network model, or null when the problem is layered.
Objective	getObjective()
List<Pair<Network,Double>>	getScenarios()
List<DecisionVariable>	getVariables()
boolean	isLayered()	True if the model is a LayeredNetwork (LQN).
boolean	isValid()
OptimizationProblem	setFixedVariables(List<Pair<DecisionVariable,Object>> pairs)
OptimizationProblem	setObjective(Objective objective)
OptimizationResult	solve()
OptimizationResult	solve(LineOptSolverOptions options)
List<String>	validate()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

OptimizationProblem

public OptimizationProblem(Network model)

OptimizationProblem

public OptimizationProblem(LayeredNetwork lqnModel)

Method Details

isLayered

public boolean isLayered()

True if the model is a LayeredNetwork (LQN).

getModel

public Network getModel()

The flat network model, or null when the problem is layered.

getLqnModel

public LayeredNetwork getLqnModel()

The LQN model, or null when the problem is flat.

getVariables

public List<DecisionVariable> getVariables()

getObjective

public Objective getObjective()

getConstraints

public List<Constraint> getConstraints()

addVariable

public OptimizationProblem addVariable(DecisionVariable variable)

setObjective

public OptimizationProblem setObjective(Objective objective)

addConstraint

public OptimizationProblem addConstraint(Constraint constraint)

setFixedVariables

public OptimizationProblem setFixedVariables(List<Pair<DecisionVariable,Object>> pairs)

getFixedVariables

public List<Pair<DecisionVariable,Object>> getFixedVariables()

addScenario

public OptimizationProblem addScenario(Network scenarioModel,
 double weight)

getScenarios

public List<Pair<Network,Double>> getScenarios()

validate

public List<String> validate()

isValid

public boolean isValid()

solve

public OptimizationResult solve()

solve

public OptimizationResult solve(LineOptSolverOptions options)

decompose

public DecompositionWorkflow decompose()

Create a decomposition workflow for this problem.