Type describing the Design of Experiment algorithm.
Standard > Feature >
OptFeature > OptGenericAlgorithm >
OptGenericDOEAlgorithm
> FullDOEAlgorithm
ConvergenceSpeed: Not appropriate
Type describing the gradient algorithm with constraint.
Standard > Feature > OptFeature > OptGenericAlgorithm > OptGenericOptimAlgorithm > OptApproximationGradientAlgorithm
ConvergenceSpeed
N/A
Type describing an optimization constraint.
Standard > Feature > OptFeature > OptGenericAlgorithm > OptGenericOptimAlgorithm > OptConstraint
Distance
Indicates the difference between the left-hand side and the right-hand side of
the constraint. In optimization this right-hand side must be a constant.
Precision
This attribute is available only for equality constraints. It enables
you to specify a tolerance around the right-hand side value of the constraint.
If distance (see attribute "Distance") is below this tolerance, the constraint
is considered as satisfied.
Priority
N/A
Satisfaction
Indicates if the constraint is satisfied or not.
Type describing an optimization constraint.
Standard > Feature > OptFeature > OptGenericAlgorithm > OptGenericOptimAlgorithm > OptConstraint
Distance
Indicates the difference between the left hand side and the right hand side of
the constraint. In optimization this right-hand side must be a constant.
Precision
This attribute is available only for equality constraints. It enables
you to specify a tolerance around the right-hand side value of the constraint.
If distance (see attribute "Distance") is below this tolerance, the constraint
is considered as satisfied.
Priority
N/A
Satisfaction
Indicates if the constraint is satisfied or not.
Father type of all optimization types.
Standard > Feature > OptFeature
Type describing the free parameters available in the Product Engineering Optimizer workbench. Free parameters are parameters which vary according to the optimizer algorithm.
Standard > Feature > OptFeature > OptFreeParameter
HasRangesStep
Enables you to check if the free parameter holds steps and/or ranges.
InfRange
Indicates the inferior range of the free parameter that can be indicated
by you in the Optimization editor.
Parameter
Corresponds to the underlying parameter of the free parameter. It also
corresponds to the knowledgeware parameter of the model on which the
optimization works.
Step
Indicates the steps of the free parameter that can be indicated by you
in the Optimization editor.
SupRange
Indicates the superior range of the free parameter that can be indicated
by you in the Optimization editor.
Value
Corresponds to the value of the free parameter.
Corresponds to the base class of all the algorithms.
Standard > Feature > OptFeature > OptGenericAlgorithm
MaxTime
Corresponds to one of the termination criteria that can be set by you in
the Optimization dialog box.
MaxWoImprovement
Corresponds to one of the termination criteria that can be set by you in
the Optimization dialog box.
NbUpdatesMax
Corresponds to one of the termination criteria that can be set by you in
the Optimization dialog box.
StoppingCriterion
Enables you to select one or several stopping criteria.
Corresponds to the base class of all the Design of Experiment algorithms.
Standard > Feature > OptFeature > OptGenericAlgorithm > OptGenericDOEAlgorithm
Corresponds to the base class of all the optimization algorithms.
Standard > Feature > OptFeature > OptGenericAlgorithm > OptGenericOptimAlgorithm
Type describing the goal parameter of the optimization.
Standard > Feature > OptFeature > OptGoal
GoalComment
Enables you to enter a comment.
GoalParameter
Enables you to have access to the underlying knowledgeware parameter
specified as the objective of the optimization.
GoalType
Enables you to specify the type of goal for the optimization (minimum,
maximum or target value.)
Precision
N/A
Priority
N/A
TargetValue
Enables you to specify a target value to be reached by the goal
parameter if the goal type is target value.
Type describing the local optimization algorithm (gradient.)
Standard > Feature > OptFeature > OptGenericAlgorithm > OptGenericOptimAlgorithm > OptGradientAlgorithm
ConvergenceSpeed
See the Product Engineering Optimizer User's Guide.
Type describing the class that encapsulates the full description of the optimization (the algorithm, the problem, and the free parameters.)
Standard > Feature > OptFeature > OptOptimization
Algorithm
Algorithm used to solve the problem.
FreeParameters
List of the free parameters.
Problem
Problem to solve (Goal, and Constraints.)
UpdateVisualization
Enables you to ask for visual update during optimization.
Type describing the collection of optimizations.
Standard > Feature > OptFeature > OptOptimizationsSet
Optimizations
List of all the optimizations in the set.
Type describing the problem to be solved.
Standard > Feature > OptFeature > OptProblem
Constraints
List of the constraints (if any.)
Goals
List of the goals (if any.)
ProblemComment
Comment.
Type describing the global optimization algorithm (Simulated Annealing.)
Standard > Feature >
OptFeature > OptGenericAlgorithm >
OptGenericOptimAlgorithm
> OptSimAnnealingAlgorithm
ConvergenceSpeed
See the Product Engineering Optimizer User's Guide .
Type describing the tool used to analyze the optimization results.
Standard > Feature > OptFeature > OptimizationLog
BestParm
Describes the parameter used to store the current value of the best result.
IndexOfBestSolInDT
Describes the list that can be used to save lines of the computations
log.
NbEvalParm
Indicates the evaluation number.
PointsDT
Describes the optimization computations log.