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

Packages that use ProductionOptimizer.OptimizationConfig

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

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

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

Modifier and Type	Field	Description
private final ProductionOptimizer.OptimizationConfig	ProductionOptimizer.ScenarioRequest.config

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

Modifier and Type	Method	Description
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.capacityPercentile(double capacityPercentile)
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.capacityRangeForName(String equipmentName, ProductionOptimizer.CapacityRange range)
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.capacityRangeForType(Class<?> type, ProductionOptimizer.CapacityRange range)
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.capacityRangeSpreadFraction(double capacityRangeSpreadFraction)
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.capacityRuleForName(String equipmentName, ProductionOptimizer.CapacityRule rule)
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.capacityRuleForType(Class<?> type, ProductionOptimizer.CapacityRule rule)
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.capacityUncertaintyFraction(double capacityUncertaintyFraction)
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.cognitiveWeight(double cognitiveWeight)
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.columnFsFactorLimit(double columnFsFactorLimit)
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.defaultUtilizationLimit(double defaultUtilizationLimit)	Sets the default equipment utilization limit.
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.enableCaching(boolean enableCaching)
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.equipmentConstraintRule(ProductionOptimizer.EquipmentConstraintRule rule)
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.ScenarioRequest.getConfig()
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.inertiaWeight(double inertiaWeight)
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.initialGuess(double[] guess)	Sets an initial guess for warm starting the optimization.
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.maxCacheSize(int size)	Sets the maximum cache size for evaluation caching.
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.maxIterations(int maxIterations)	Sets the maximum number of iterations.
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.parallelEvaluations(boolean parallel)	Enables parallel evaluation of candidates in PSO and scenario optimization.
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.parallelThreads(int threads)	Sets the number of threads for parallel evaluations.
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.paretoGridSize(int gridSize)	Sets the grid size for Pareto front generation.
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.randomSeed(long seed)	Sets the random seed for stochastic algorithms (PSO, Nelder-Mead initialization).
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.rateUnit(String rateUnit)
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.rejectInvalidSimulations(boolean reject)	Sets whether to reject simulation results that are physically invalid.
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.searchMode(ProductionOptimizer.SearchMode mode)
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.socialWeight(double socialWeight)
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.stagnationIterations(int iterations)	Sets the number of iterations without improvement before early termination.
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.swarmSize(int swarmSize)
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.tolerance(double tolerance)	Sets the convergence tolerance.
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.useFixedSeed(boolean fixed)	Controls whether a fixed or time-based random seed is used.
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.utilizationLimitForName(String equipmentName, double limit)
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.utilizationLimitForType(Class<?> type, double limit)
ProductionOptimizer.OptimizationConfig	ProductionOptimizer.OptimizationConfig.utilizationMarginFraction(double utilizationMarginFraction)

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

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 String	ProductionOptimizer.buildVectorCacheKey(double[] candidate, ProductionOptimizer.OptimizationConfig config)
private boolean	MultiObjectiveOptimizer.checkFeasibility(ProcessSystem process, ProductionOptimizer.OptimizationConfig config, List<ProductionOptimizer.OptimizationConstraint> constraints)	Checks process feasibility against equipment utilization limits and hard constraints.
private ProductionOptimizer.CapacityRange	ProductionOptimizer.determineCapacityRange(ProcessEquipmentInterface unit, ProductionOptimizer.OptimizationConfig config)
private ProductionOptimizer.CapacityRule	ProductionOptimizer.determineCapacityRule(ProcessEquipmentInterface unit, ProductionOptimizer.OptimizationConfig config)	Determines the capacity rule for a given equipment unit.
private ProductionOptimizer.CapacityRule	ProductionOptimizer.determineCapacityRuleByType(ProcessEquipmentInterface unit, ProductionOptimizer.OptimizationConfig config)	Type-specific capacity rules for common equipment types.
private double	ProductionOptimizer.determineUtilizationLimit(ProcessEquipmentInterface unit, ProductionOptimizer.OptimizationConfig config)
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.Evaluation	ProductionOptimizer.evaluateProcess(ProcessSystem process, ProductionOptimizer.OptimizationConfig config, List<ProductionOptimizer.OptimizationObjective> objectives, List<ProductionOptimizer.OptimizationConstraint> constraints, Map<String,Double> decisionVariables)
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 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.
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.
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.
ProductionOptimizer.ParetoResult	ProductionOptimizer.optimizePareto(ProcessSystem process, StreamInterface feedStream, ProductionOptimizer.OptimizationConfig config, List<ProductionOptimizer.OptimizationObjective> objectives, List<ProductionOptimizer.OptimizationConstraint> constraints)	Perform multi-objective Pareto optimization using weighted-sum scalarization.
private List<ProductionOptimizer.ParetoPoint>	ProductionOptimizer.optimizeParetoParallel(ProcessSystem process, StreamInterface feedStream, ProductionOptimizer.OptimizationConfig config, List<ProductionOptimizer.OptimizationObjective> objectives, List<ProductionOptimizer.OptimizationConstraint> constraints, List<double[]> weightCombinations, List<String> objectiveNames)	Runs Pareto weight combinations in parallel using a fixed thread pool.
private ParetoFront	MultiObjectiveOptimizer.optimizeSingleObjective(ProcessSystem process, StreamInterface feedStream, ObjectiveFunction objective, ProductionOptimizer.OptimizationConfig baseConfig, List<ProductionOptimizer.OptimizationConstraint> constraints)	Optimize a single objective (convenience method).
static CompressorOptimizationHelper.TwoStageResult	CompressorOptimizationHelper.optimizeTwoStage(ProcessSystem process, StreamInterface feedStream, List<Compressor> compressors, List<BiConsumer<ProcessSystem, Double>> trainStreamSetters, double flowLowerBound, double flowUpperBound, ProductionOptimizer.OptimizationConfig config)	Perform two-stage optimization for multi-train compressor systems.
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.
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)
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.

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

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