Uses of Interface
neqsim.process.util.optimizer.ObjectiveFunction

Packages that use ObjectiveFunction

Package	Description
neqsim.process.util.optimizer	Process optimization engine and constraint evaluation utilities.

Uses of ObjectiveFunction in neqsim.process.util.optimizer

Classes in neqsim.process.util.optimizer that implement ObjectiveFunction

Modifier and Type	Class	Description
enum	StandardObjective	Standard optimization objectives commonly used in process optimization.

Fields in neqsim.process.util.optimizer with type parameters of type ObjectiveFunction

Modifier and Type	Field	Description
private final List<ObjectiveFunction>	MultiObjectiveOptimizer.MultiObjectiveResult.objectives
private List<ObjectiveFunction>	ParetoSolution.Builder.objectives

Methods in neqsim.process.util.optimizer that return ObjectiveFunction

Modifier and Type	Method	Description
static ObjectiveFunction	ObjectiveFunction.create(String name, ToDoubleFunction<ProcessSystem> evaluator, ObjectiveFunction.Direction direction, String unit)	Create a custom objective function.
static ObjectiveFunction	StandardObjective.maximizeManifoldThroughput(String manifoldName)	Create an objective for maximizing manifold throughput.
static ObjectiveFunction	StandardObjective.maximizePumpEfficiency(String pumpName)	Create an objective for maximizing pump efficiency.
static ObjectiveFunction	StandardObjective.maximizePumpNPSHMargin(String pumpName)	Create an objective for maximizing pump NPSH margin.
static ObjectiveFunction	StandardObjective.maximizeStreamFlow(String streamName)	Create an objective for a specific stream's flow rate.
static ObjectiveFunction	StandardObjective.minimizeCompressorPower(String compressorName)	Create an objective for a specific compressor's power.
static ObjectiveFunction	StandardObjective.minimizeFIV_FRMS(String fivAnalyzerName)	Create an objective for minimizing FRMS (Flow-induced vibration RMS) on a pipeline.
static ObjectiveFunction	StandardObjective.minimizeFIV_LOF(String fivAnalyzerName)	Create an objective for minimizing FIV LOF (Likelihood of Failure) on a pipeline.
static ObjectiveFunction	StandardObjective.minimizeManifoldBranchLOF(String manifoldName)	Create an objective for minimizing manifold branch LOF.
static ObjectiveFunction	StandardObjective.minimizeManifoldHeaderFRMS(String manifoldName)	Create an objective for minimizing manifold header FRMS.
static ObjectiveFunction	StandardObjective.minimizeManifoldHeaderLOF(String manifoldName)	Create an objective for minimizing manifold header LOF (Likelihood of Failure).
static ObjectiveFunction	StandardObjective.minimizeManifoldImbalance(String manifoldName)	Create an objective for balancing manifold split ratios.
static ObjectiveFunction	StandardObjective.minimizeManifoldPressureDrop(String manifoldName)	Create an objective for minimizing pressure drop across a manifold.
static ObjectiveFunction	StandardObjective.minimizeManifoldVelocityRatio(String manifoldName)	Create an objective for keeping manifold header velocity below erosional limits.
static ObjectiveFunction	StandardObjective.minimizePipelineVibration(String pipelineName, String method, String supportArrangement)	Create a pipeline FIV analyzer objective directly from a pipeline.
static ObjectiveFunction	StandardObjective.minimizePumpPower(String pumpName)	Create an objective for a specific pump's power.
static ObjectiveFunction	StandardObjective.minimizeStreamFlow(String streamName, String unit)	Create an objective for a specific stream's flow rate.

Methods in neqsim.process.util.optimizer that return types with arguments of type ObjectiveFunction

Modifier and Type	Method	Description
private Map<ObjectiveFunction, double[]>	MultiObjectiveOptimizer.findObjectiveBounds(ProcessSystem process, StreamInterface feedStream, List<ObjectiveFunction> objectives, ProductionOptimizer.OptimizationConfig baseConfig)	Finds the min/max bounds for each objective by running single-objective optimization.
List<ObjectiveFunction>	MultiObjectiveOptimizer.MultiObjectiveResult.getObjectives()

Methods in neqsim.process.util.optimizer with parameters of type ObjectiveFunction

Modifier and Type	Method	Description
private ProductionOptimizer.OptimizationConstraint	MultiObjectiveOptimizer.createEpsilonConstraint(ObjectiveFunction objective, double epsilon)	Creates an epsilon constraint bounding an objective from above or below.
private ProductionOptimizer.OptimizationObjective	MultiObjectiveOptimizer.objectiveFunctionToConfig(ObjectiveFunction objective)	Converts an ObjectiveFunction to a ProductionOptimizer.OptimizationObjective.
ParetoFront	MultiObjectiveOptimizer.optimizeEpsilonConstraint(ProcessSystem process, StreamInterface feedStream, ObjectiveFunction primaryObjective, List<ObjectiveFunction> constrainedObjectives, ProductionOptimizer.OptimizationConfig baseConfig, int gridPoints)	Find Pareto front using epsilon-constraint method.
ParetoFront	MultiObjectiveOptimizer.optimizeEpsilonConstraint(ProcessSystem process, StreamInterface feedStream, ObjectiveFunction primaryObjective, List<ObjectiveFunction> constrainedObjectives, ProductionOptimizer.OptimizationConfig baseConfig, int gridPoints, List<ProductionOptimizer.OptimizationConstraint> additionalConstraints)	Find Pareto front using epsilon-constraint method with additional constraints.
private ParetoFront	MultiObjectiveOptimizer.optimizeSingleObjective(ProcessSystem process, StreamInterface feedStream, ObjectiveFunction objective, ProductionOptimizer.OptimizationConfig baseConfig, List<ProductionOptimizer.OptimizationConstraint> constraints)	Optimize a single objective (convenience method).

Method parameters in neqsim.process.util.optimizer with type arguments of type ObjectiveFunction

Modifier and Type	Method	Description
private ProductionOptimizer.OptimizationObjective	MultiObjectiveOptimizer.createWeightedObjective(List<ObjectiveFunction> objectives, double[] weights)	Creates a single weighted objective that combines multiple objectives with the given weights.
private double[]	MultiObjectiveOptimizer.evaluateObjectives(ProcessSystem process, List<ObjectiveFunction> objectives)	Evaluates all objectives for the current process state.
private Map<ObjectiveFunction, double[]>	MultiObjectiveOptimizer.findObjectiveBounds(ProcessSystem process, StreamInterface feedStream, List<ObjectiveFunction> objectives, ProductionOptimizer.OptimizationConfig baseConfig)	Finds the min/max bounds for each objective by running single-objective optimization.
private List<double[]>	MultiObjectiveOptimizer.generateEpsilonGrid(List<ObjectiveFunction> objectives, Map<ObjectiveFunction, double[]> bounds, int gridPoints)	Generates an epsilon grid for the epsilon-constraint method.
private List<double[]>	MultiObjectiveOptimizer.generateEpsilonGrid(List<ObjectiveFunction> objectives, Map<ObjectiveFunction, double[]> bounds, int gridPoints)	Generates an epsilon grid for the epsilon-constraint method.
private void	MultiObjectiveOptimizer.generateGrid(List<double[]> grid, List<ObjectiveFunction> objectives, Map<ObjectiveFunction, double[]> bounds, int gridPoints, double[] current, int index)	Recursively generates a full combinatorial grid of epsilon values.
ParetoSolution.Builder	ParetoSolution.Builder.objectives(List<ObjectiveFunction> objectives, double[] rawValues)	Set objectives and their evaluated values.
ParetoFront	MultiObjectiveOptimizer.optimizeEpsilonConstraint(ProcessSystem process, StreamInterface feedStream, ObjectiveFunction primaryObjective, List<ObjectiveFunction> constrainedObjectives, ProductionOptimizer.OptimizationConfig baseConfig, int gridPoints)	Find Pareto front using epsilon-constraint method.
ParetoFront	MultiObjectiveOptimizer.optimizeEpsilonConstraint(ProcessSystem process, StreamInterface feedStream, ObjectiveFunction primaryObjective, List<ObjectiveFunction> constrainedObjectives, ProductionOptimizer.OptimizationConfig baseConfig, int gridPoints, List<ProductionOptimizer.OptimizationConstraint> additionalConstraints)	Find Pareto front using epsilon-constraint method with additional constraints.
ParetoFront	MultiObjectiveOptimizer.optimizeWeightedSum(ProcessSystem process, StreamInterface feedStream, List<ObjectiveFunction> objectives, ProductionOptimizer.OptimizationConfig baseConfig, int numWeightCombinations)	Find Pareto front using weighted-sum scalarization.
ParetoFront	MultiObjectiveOptimizer.optimizeWeightedSum(ProcessSystem process, StreamInterface feedStream, List<ObjectiveFunction> objectives, ProductionOptimizer.OptimizationConfig baseConfig, int numWeightCombinations, List<ProductionOptimizer.OptimizationConstraint> constraints)	Find Pareto front using weighted-sum scalarization with additional constraints.
ParetoFront	MultiObjectiveOptimizer.sampleParetoFront(ProcessSystem process, StreamInterface feedStream, List<ObjectiveFunction> objectives, ProductionOptimizer.OptimizationConfig baseConfig, int numSamples)	Generate Pareto front by sampling at fixed flow rates within the feasible range.
ParetoFront	MultiObjectiveOptimizer.sampleParetoFront(ProcessSystem process, StreamInterface feedStream, List<ObjectiveFunction> objectives, ProductionOptimizer.OptimizationConfig baseConfig, int numSamples, List<ProductionOptimizer.OptimizationConstraint> constraints)	Generate Pareto front by sampling at fixed flow rates with constraint checking.

Constructor parameters in neqsim.process.util.optimizer with type arguments of type ObjectiveFunction

Modifier	Constructor	Description
	MultiObjectiveResult(ParetoFront paretoFront, List<ObjectiveFunction> objectives, String method, long computationTimeMs)	Constructor for MultiObjectiveResult.