Uses of Class
neqsim.process.util.optimizer.ProductionOptimizer.OptimizationResult

Packages that use ProductionOptimizer.OptimizationResult

Package	Description
neqsim.process.util.fielddevelopment	Field Development Planning utilities for NeqSim.
neqsim.process.util.optimizer	Process optimization engine and constraint evaluation utilities.

Uses of ProductionOptimizer.OptimizationResult in neqsim.process.util.fielddevelopment

Methods in neqsim.process.util.fielddevelopment with parameters of type ProductionOptimizer.OptimizationResult

Modifier and Type	Method	Description
private FacilityCapacity.DebottleneckOption	FacilityCapacity.createDebottleneckOption(ProcessEquipmentInterface equipment, ProductionOptimizer.OptimizationResult baseResult, StreamInterface feedStream, double lowerBound, double upperBound, String rateUnit)	Creates a debottleneck option for a piece of equipment.
private List<FacilityCapacity.DebottleneckOption>	FacilityCapacity.generateDebottleneckOptions(ProductionOptimizer.OptimizationResult baseResult, StreamInterface feedStream, double lowerBound, double upperBound, String rateUnit)	Generates debottleneck options for near-bottleneck equipment.

Method parameters in neqsim.process.util.fielddevelopment with type arguments of type ProductionOptimizer.OptimizationResult

Modifier and Type	Method	Description
SensitivityAnalysis.MonteCarloResult	SensitivityAnalysis.runMonteCarloOptimization(StreamInterface feedStream, double lowerBound, double upperBound, String rateUnit, ToDoubleFunction<ProductionOptimizer.OptimizationResult> outputMetric, SensitivityAnalysis.SensitivityConfig config)	Runs Monte Carlo simulation on feed rate optimization.
private List<SensitivityAnalysis.TrialResult>	SensitivityAnalysis.runParallelTrials(StreamInterface feedStream, double lowerBound, double upperBound, String rateUnit, ToDoubleFunction<ProductionOptimizer.OptimizationResult> outputMetric, SensitivityAnalysis.SensitivityConfig config, Random localRng)	Runs trials in parallel.
private List<SensitivityAnalysis.TrialResult>	SensitivityAnalysis.runSequentialTrials(StreamInterface feedStream, double lowerBound, double upperBound, String rateUnit, ToDoubleFunction<ProductionOptimizer.OptimizationResult> outputMetric, SensitivityAnalysis.SensitivityConfig config, Random localRng)	Runs trials sequentially.
private SensitivityAnalysis.TrialResult	SensitivityAnalysis.runSingleTrial(int trialNum, Map<String,Double> sampled, StreamInterface feedStream, double lowerBound, double upperBound, String rateUnit, ToDoubleFunction<ProductionOptimizer.OptimizationResult> outputMetric)	Runs a single trial (used for parallel execution).
Map<String, List<SensitivityAnalysis.SpiderPoint>>	SensitivityAnalysis.runSpiderAnalysis(StreamInterface feedStream, double lowerBound, double upperBound, String rateUnit, int stepsPerParameter, ToDoubleFunction<ProductionOptimizer.OptimizationResult> outputMetric)	Generates spider plot data for each parameter.
Map<String,Double>	SensitivityAnalysis.runTornadoAnalysis(StreamInterface feedStream, double lowerBound, double upperBound, String rateUnit, ToDoubleFunction<ProductionOptimizer.OptimizationResult> outputMetric)	Runs one-at-a-time sensitivity analysis (tornado diagram).
private Map<String,Double>	SensitivityAnalysis.runTornadoAnalysisInternal(StreamInterface feedStream, double lowerBound, double upperBound, String rateUnit, ToDoubleFunction<ProductionOptimizer.OptimizationResult> outputMetric)

Uses of ProductionOptimizer.OptimizationResult in neqsim.process.util.optimizer

Fields in neqsim.process.util.optimizer declared as ProductionOptimizer.OptimizationResult

Modifier and Type	Field	Description
private final ProductionOptimizer.OptimizationResult	ProductionOptimizer.ParetoPoint.fullResult
private final ProductionOptimizer.OptimizationResult	ProductionOptimizer.ScenarioResult.result
private final ProductionOptimizer.OptimizationResult	CompressorOptimizationHelper.TwoStageResult.stage1Result
private final ProductionOptimizer.OptimizationResult	CompressorOptimizationHelper.TwoStageResult.stage2Result

Fields in neqsim.process.util.optimizer with type parameters of type ProductionOptimizer.OptimizationResult

Modifier and Type	Field	Description
private final ToDoubleFunction<ProductionOptimizer.OptimizationResult>	ProductionOptimizer.ScenarioKpi.metric

Methods in neqsim.process.util.optimizer that return ProductionOptimizer.OptimizationResult

Modifier and Type	Method	Description
private ProductionOptimizer.OptimizationResult	ProductionOptimizer.binaryFeasibilitySearch(ProcessSystem process, List<ProductionOptimizer.ManipulatedVariable> variables, ProductionOptimizer.OptimizationConfig config, List<ProductionOptimizer.OptimizationObjective> objectives, List<ProductionOptimizer.OptimizationConstraint> constraints, List<ProductionOptimizer.IterationRecord> iterationHistory)
ProductionOptimizer.OptimizationResult	PressureBoundaryOptimizer.findMaxFlowRate(double inletPressure, double targetOutletPressure, String pressureUnit)	Finds the maximum flow rate at given pressure boundary conditions.
ProductionOptimizer.OptimizationResult	PressureBoundaryOptimizer.findMinimumPowerOperatingPoint(double inletPressure, double targetOutletPressure, String pressureUnit, double targetFlowRate)	Finds the operating point that minimizes total compressor power for given pressure boundaries.
ProductionOptimizer.OptimizationResult	ProductionOptimizer.ParetoPoint.getFullResult()
ProductionOptimizer.OptimizationResult	ProductionOptimizer.ScenarioResult.getResult()
ProductionOptimizer.OptimizationResult	CompressorOptimizationHelper.TwoStageResult.getStage1Result()	Returns the Stage 1 (load balancing) optimization result.
ProductionOptimizer.OptimizationResult	CompressorOptimizationHelper.TwoStageResult.getStage2Result()	Returns the Stage 2 (throughput maximization) optimization result.
private ProductionOptimizer.OptimizationResult	ProductionOptimizer.goldenSectionSearch(ProcessSystem process, List<ProductionOptimizer.ManipulatedVariable> variables, ProductionOptimizer.OptimizationConfig config, List<ProductionOptimizer.OptimizationObjective> objectives, List<ProductionOptimizer.OptimizationConstraint> constraints, List<ProductionOptimizer.IterationRecord> iterationHistory)
private ProductionOptimizer.OptimizationResult	ProductionOptimizer.gradientDescentSearch(ProcessSystem process, List<ProductionOptimizer.ManipulatedVariable> variables, ProductionOptimizer.OptimizationConfig config, List<ProductionOptimizer.OptimizationObjective> objectives, List<ProductionOptimizer.OptimizationConstraint> constraints, List<ProductionOptimizer.IterationRecord> iterationHistory)	Gradient descent search for multi-variable optimization using finite-difference gradients.
private ProductionOptimizer.OptimizationResult	ProductionOptimizer.nelderMeadSearch(ProcessSystem process, List<ProductionOptimizer.ManipulatedVariable> variables, ProductionOptimizer.OptimizationConfig config, List<ProductionOptimizer.OptimizationObjective> objectives, List<ProductionOptimizer.OptimizationConstraint> constraints, List<ProductionOptimizer.IterationRecord> iterationHistory)
ProductionOptimizer.OptimizationResult	ProductionOptimizer.optimize(ProcessSystem process, List<ProductionOptimizer.ManipulatedVariable> variables, ProductionOptimizer.OptimizationConfig config, List<ProductionOptimizer.OptimizationObjective> objectives, List<ProductionOptimizer.OptimizationConstraint> constraints)	Optimize multiple manipulated variables using multi-dimensional search strategies.
ProductionOptimizer.OptimizationResult	ProductionOptimizer.optimize(ProcessSystem process, StreamInterface feedStream, ProductionOptimizer.OptimizationConfig config, List<ProductionOptimizer.OptimizationObjective> objectives, List<ProductionOptimizer.OptimizationConstraint> constraints)	Optimize the feed stream rate of a process to respect utilization limits and constraints.
ProductionOptimizer.OptimizationResult	ProductionOptimizer.optimizeThroughput(ProcessSystem process, StreamInterface feedStream, double lowerBound, double upperBound, String rateUnit, List<ProductionOptimizer.OptimizationConstraint> additionalConstraints)	Convenience wrapper to maximize throughput with optional constraints and custom search config.
private ProductionOptimizer.OptimizationResult	ProductionOptimizer.particleSwarmSearch(ProcessSystem process, List<ProductionOptimizer.ManipulatedVariable> variables, ProductionOptimizer.OptimizationConfig config, List<ProductionOptimizer.OptimizationObjective> objectives, List<ProductionOptimizer.OptimizationConstraint> constraints, List<ProductionOptimizer.IterationRecord> iterationHistory)
private ProductionOptimizer.OptimizationResult	ProductionOptimizer.toResult(double rate, String unit, int iteration, ProductionOptimizer.Evaluation evaluation, List<ProductionOptimizer.IterationRecord> iterationHistory)

Methods in neqsim.process.util.optimizer with parameters of type ProductionOptimizer.OptimizationResult

Modifier and Type	Method	Description
double	ProductionOptimizer.ScenarioKpi.evaluate(ProductionOptimizer.OptimizationResult result)

Constructors in neqsim.process.util.optimizer with parameters of type ProductionOptimizer.OptimizationResult

Modifier	Constructor	Description
	ParetoPoint(Map<String,Double> decisionVariables, Map<String,Double> objectiveValues, double[] weights, boolean feasible, ProductionOptimizer.OptimizationResult fullResult)	Constructs a Pareto point.
	ScenarioResult(String name, ProductionOptimizer.OptimizationResult result)
	TwoStageResult(double totalFlow, String flowUnit, Map<String,Double> trainSplits, Map<String,Double> trainFlows, Map<String,Double> trainUtilizations, Map<String,Double> trainPowers, Map<String,Double> trainSurgeMargins, ProductionOptimizer.OptimizationResult stage1Result, ProductionOptimizer.OptimizationResult stage2Result)	Constructs a two-stage result.

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

Modifier	Constructor	Description
	ScenarioKpi(String name, String unit, ToDoubleFunction<ProductionOptimizer.OptimizationResult> metric)