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.

Constructor Summary

Constructors

Constructor	Description
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()
Network	getModel()
Objective	getObjective()
List<Pair<Network,Double>>	getScenarios()
List<DecisionVariable>	getVariables()
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)

Method Details

getModel

public Network getModel()

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.