Class ProductionOptimizer.OptimizationResult

java.lang.Object

neqsim.process.util.optimizer.ProductionOptimizer.OptimizationResult

Enclosing class:

ProductionOptimizer

public static final class ProductionOptimizer.OptimizationResult
extends Object

Result container for a completed optimization attempt.

Version:

1.0

Author:

NeqSim Development Team

Field Summary

Fields

Modifier and Type	Field	Description
private final ProcessEquipmentInterface	bottleneck
private final double	bottleneckUtilization
private final List<ProductionOptimizer.ConstraintStatus>	constraintStatuses
private final Map<String,Double>	decisionVariables
private final boolean	feasible
private final List<ProductionOptimizer.IterationRecord>	iterationHistory
private final int	iterations
private final Map<String,Double>	objectiveValues
private final double	optimalRate
private final String	rateUnit
private final double	score
private final List<ProductionOptimizer.UtilizationRecord>	utilizationRecords

Constructor Summary

Constructors

Constructor

Description

OptimizationResult(double optimalRate, String rateUnit, Map<String,Double> decisionVariables, ProcessEquipmentInterface bottleneck, double bottleneckUtilization, List<ProductionOptimizer.UtilizationRecord> utilizationRecords, Map<String,Double> objectiveValues, List<ProductionOptimizer.ConstraintStatus> constraintStatuses, boolean feasible, double score, int iterations, List<ProductionOptimizer.IterationRecord> iterationHistory)

Method Summary

Modifier and Type	Method	Description
String	exportDetailedIterationHistoryAsCsv()	Exports a detailed CSV including per-equipment utilization at each iteration.
String	exportIterationHistoryAsCsv()	Exports the iteration history as a CSV string for spreadsheet analysis.
String	exportIterationHistoryAsJson()	Exports the iteration history as a JSON string for analysis and debugging.
ProcessEquipmentInterface	getBottleneck()
double	getBottleneckUtilization()
List<ProductionOptimizer.ConstraintStatus>	getConstraintStatuses()
Map<String,Double>	getDecisionVariables()
String	getInfeasibilityDiagnosis()	Returns a detailed diagnostic report explaining why the result is infeasible.
List<ProductionOptimizer.IterationRecord>	getIterationHistory()
int	getIterations()
Map<String,Double>	getObjectiveValues()
double	getOptimalRate()
String	getRateUnit()
double	getScore()
List<ProductionOptimizer.UtilizationRecord>	getUtilizationRecords()
boolean	isFeasible()

Methods inherited from class Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Details

optimalRate

private final double optimalRate

rateUnit

private final String rateUnit

decisionVariables

private final Map<String,Double> decisionVariables

bottleneck

private final ProcessEquipmentInterface bottleneck

bottleneckUtilization

private final double bottleneckUtilization

utilizationRecords

private final List<ProductionOptimizer.UtilizationRecord> utilizationRecords

objectiveValues

private final Map<String,Double> objectiveValues

constraintStatuses

private final List<ProductionOptimizer.ConstraintStatus> constraintStatuses

feasible

private final boolean feasible

score

private final double score

iterations

private final int iterations

iterationHistory

private final List<ProductionOptimizer.IterationRecord> iterationHistory

Constructor Details

OptimizationResult

public OptimizationResult(double optimalRate,
 String rateUnit,
 Map<String,Double> decisionVariables,
 ProcessEquipmentInterface bottleneck,
 double bottleneckUtilization,
 List<ProductionOptimizer.UtilizationRecord> utilizationRecords,
 Map<String,Double> objectiveValues,
 List<ProductionOptimizer.ConstraintStatus> constraintStatuses,
 boolean feasible,
 double score,
 int iterations,
 List<ProductionOptimizer.IterationRecord> iterationHistory)

Method Details

getOptimalRate

public double getOptimalRate()

getRateUnit

public String getRateUnit()

getDecisionVariables

public Map<String,Double> getDecisionVariables()

getBottleneck

public ProcessEquipmentInterface getBottleneck()

getBottleneckUtilization

public double getBottleneckUtilization()

getUtilizationRecords

public List<ProductionOptimizer.UtilizationRecord> getUtilizationRecords()

getObjectiveValues

public Map<String,Double> getObjectiveValues()

getConstraintStatuses

public List<ProductionOptimizer.ConstraintStatus> getConstraintStatuses()

isFeasible

public boolean isFeasible()

getScore

public double getScore()

getIterations

public int getIterations()

getIterationHistory

public List<ProductionOptimizer.IterationRecord> getIterationHistory()

getInfeasibilityDiagnosis

public String getInfeasibilityDiagnosis()

Returns a detailed diagnostic report explaining why the result is infeasible.

This method analyzes utilization records and constraint statuses to identify and describe all violations that prevent the solution from being feasible.

Returns:

diagnostic report string, or "Feasible" if no violations

exportIterationHistoryAsJson

public String exportIterationHistoryAsJson()

Exports the iteration history as a JSON string for analysis and debugging.

The JSON format includes an array of iteration records with all relevant optimization metrics including rate, utilization, feasibility, and equipment utilizations.

Returns:

JSON string containing the full iteration history

exportIterationHistoryAsCsv

public String exportIterationHistoryAsCsv()

Exports the iteration history as a CSV string for spreadsheet analysis.

The CSV includes columns for iteration number, rate, unit, bottleneck name, bottleneck utilization, feasibility flags, and score. This format is suitable for import into Excel, Python pandas, or other analysis tools.

Returns:

CSV string with header row and one data row per iteration

exportDetailedIterationHistoryAsCsv

public String exportDetailedIterationHistoryAsCsv()

Exports a detailed CSV including per-equipment utilization at each iteration.

This expanded format includes one column per equipment item, allowing visualization of how individual equipment utilizations change throughout the optimization search.

Returns:

CSV string with equipment utilization columns