Uses of Class
com.opttek.optquest.COptQuestObjective
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Uses of COptQuestObjective in com.opttek.optquest
Subclasses of COptQuestObjective in com.opttek.optquestModifier and TypeClassDescriptionclassThe COptQuestFrontierMultiObjective allows the user to combine objectives and treat them as a single objective for the optimization.classThe COptQuestMultiObjective is an abstract class.classThe COptQuestObjectiveFunction class is used to define a linear objective.classclassclassclassclassThe COptQuestStringObjective class is used to define an objective function using a mathematical expression.classThe COptQuestUserControlledObjective allows you to compute a value for the optimization objective.classDeprecated.Methods in com.opttek.optquest that return COptQuestObjectiveModifier and TypeMethodDescriptionCOptQuestOptimization.GetObjective()Returns the COptQuestObjective object added by the AddObjective() methodCOptQuestUserControlledOptimization.GetObjective()Returns the COptQuestObjective object added by the AddObjective() methodMethods in com.opttek.optquest that return types with arguments of type COptQuestObjectiveModifier and TypeMethodDescriptionMap<COptQuestObjective, com.opttek.optquest.OutputValues> COptQuestSolution.getObjectiveValues()Methods in com.opttek.optquest with parameters of type COptQuestObjectiveModifier and TypeMethodDescriptionvoidCOptQuestOptimization.AddObjective(COptQuestObjective objective) Adds the objective defined by the input parameter to the optimization problem.voidCOptQuestUserControlledOptimization.AddObjective(COptQuestObjective objective) Adds the objective defined by the input parameter to the optimization problem.doubleCOptQuestFrontierMultiObjective.GetObjectiveMaximum(COptQuestObjective obj) Returns the maximum value that was set for an objective range.doubleCOptQuestFrontierMultiObjective.GetObjectiveMinimum(COptQuestObjective obj) Returns the minimum value that was set for an objective range.voidCOptQuestFrontierMultiObjective.SetObjectiveRange(COptQuestObjective obj, double min, double max) Focuses the frontier search on objective values between min and max.