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

Packages that use ProductionOptimizer.ManipulatedVariable

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

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

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

Modifier and Type	Field	Description
private final List<ProductionOptimizer.ManipulatedVariable>	ProductionOptimizer.ScenarioRequest.variables

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

Modifier and Type	Method	Description
static ProductionOptimizer.ManipulatedVariable	CompressorOptimizationHelper.createOutletPressureVariable(Compressor compressor, double minPressure, double maxPressure)	Create a manipulated variable for compressor outlet pressure.
static ProductionOptimizer.ManipulatedVariable	CompressorOptimizationHelper.createSpeedVariable(Compressor compressor, double minSpeed, double maxSpeed)	Create a manipulated variable for compressor speed.

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

Modifier and Type	Method	Description
static List<ProductionOptimizer.ManipulatedVariable>	CompressorOptimizationHelper.createSpeedVariables(List<Compressor> compressors)	Create a list of compressor speed variables with chart-derived bounds.
List<ProductionOptimizer.ManipulatedVariable>	ProductionOptimizer.ScenarioRequest.getVariables()

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

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)
private double[]	ProductionOptimizer.clampToBounds(double[] candidate, List<ProductionOptimizer.ManipulatedVariable> variables)	Clamp all values in the candidate array to the bounds defined by the manipulated variables.
private ProductionOptimizer.Evaluation	ProductionOptimizer.evaluateCandidate(ProcessSystem process, List<ProductionOptimizer.ManipulatedVariable> variables, ProductionOptimizer.OptimizationConfig config, List<ProductionOptimizer.OptimizationObjective> objectives, List<ProductionOptimizer.OptimizationConstraint> constraints, double[] candidate, Map<String, ProductionOptimizer.Evaluation> cache)
private ProductionOptimizer.Evaluation	ProductionOptimizer.evaluateCandidateInternal(ProcessSystem process, List<ProductionOptimizer.ManipulatedVariable> variables, ProductionOptimizer.OptimizationConfig config, List<ProductionOptimizer.OptimizationObjective> objectives, List<ProductionOptimizer.OptimizationConstraint> constraints, double[] candidate)
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.ParetoResult	ProductionOptimizer.optimizePareto(ProcessSystem process, List<ProductionOptimizer.ManipulatedVariable> variables, ProductionOptimizer.OptimizationConfig config, List<ProductionOptimizer.OptimizationObjective> objectives, List<ProductionOptimizer.OptimizationConstraint> constraints)	Perform multi-objective Pareto optimization with multiple manipulated variables.
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 void	ProductionOptimizer.shrink(double[][] simplex, List<ProductionOptimizer.ManipulatedVariable> variables)

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

Modifier	Constructor	Description
	ScenarioRequest(String name, ProcessSystem process, List<ProductionOptimizer.ManipulatedVariable> variables, ProductionOptimizer.OptimizationConfig config, List<ProductionOptimizer.OptimizationObjective> objectives, List<ProductionOptimizer.OptimizationConstraint> constraints)