Optimization Process Composer Basics
Optimization Process Composer Access to Content
Configuring General Preferences
Configuring Execution Preferences
Configuring Adapter Preferences
Working with Simulation Processes
About Simulation Processes, Activities, and Steps
About Simulation Process Development
Validating a Simulation Process
Opening an Existing Simulation Process
Setting Simulation Process Properties
Exporting and Importing Simulation Processes
Exporting and Importing Simulation Templates
Configuring the General Options
Configuring the Activity Execution Options
Using Distributed Resource Management
Setting the Third-Party DRM Settings
Mapping Execution Options to a Parameter
Organizing Steps Inside an Activity
Creating a Hierarchical Subflow
About the Main Step in a Simulation Activity
Configuring the General Options
Configuring the Step Execution Options
About Conditional Expressions in Branches
Inserting Gateways to Create Branches
Controlling the Execution of Branches
About the Simulation Kind Attribute
Opening a Job in Performance Study
Opening a Job in Results Analytics
Defining and Mapping Parameters
Creating an Activity Parameter
Importing and Exporting Parameters
Importing Parameters from an XML File
Exporting Parameters to an XML File
Displaying a List of Parameters
Editing Parameters Using the Parameters Panel
Viewing and Editing Individual Array Element Values
Adding Parameters to the Activity
Mapping Parameters Within a Process
Mapping Parameters Using the Dataflow Panel
Mapping Parameters Using the Immersive Parameters View
Parameter Mapping Compatibility
Mapping Parameters Between Apps
Mapping to Part Design Parameters
About the Immersive Parameters View
Displaying the Immersive Parameters View
Mapping Options and Attributes to Parameters
Mapping an Attribute to a Parameter
Mapping an Option to a Parameter
How Optimization Process Composer Generates Problem Formulations
About Defining Arrays in Problem Formulations
About Design Parameters Initialization
Managing Content in an Activity
Adding a Category to an Activity
Removing a Category From an Activity
Creating Folders for an Activity
Adding an Owned Document to an Activity
Adding a Referenced Object to an Activity
Adding a Revision of an Object to an Activity
Removing Folders or Documents From an Activity
Managing Content in a Simulation Process
Adding a Category to a Simulation Process
Removing a Category From a Simulation Process
Creating Folders for a Simulation Process
Adding an Owned Document to a Simulation Process
Adding a Referenced Object to a Simulation Process
Adding a Revision of an Object to a Simulation Process
Removing Folders or Documents From a Simulation Process
The Parameters You Can Extract from a Model Database File
How the Adapter Interacts with Abaqus/CAE
Using the Abaqus Adapter in a Co-Simulation Process
Configuring the Abaqus Adapter
Reading and Specifying Input Parameters
Configuring the Execution Options
Reading and Specifying Output Parameters
Configuring the Pre-Update Options
Configuring the Post-Update Options
Configuring the Pre-Execute Parameters
Configuring the Post-Execute Parameters
Mapping Between Parameters and Cells
Configuring the Isight Adapter
Configuring the Isight Execution Environment
Configuring the MATLAB® Adapter
About the Physics Simulation Adapter
Configuring the Pre-Execution Options
Configuring the Post-Execution Options
Configuring the Pre-Update Options
Configuring the Post-Update Options
Configuring the Pre-Execute Parameters
Configuring the Post-Execute Parameters
Mapping Attributes and Parameters
About the Analytics Case Adapter
Configuring a Results Analytics Case
Configuring the Python Interpreter Environment
About the Approximation Adapter
Mapping Model Parameters to Activity Parameters
Training an Approximation with a Simulation Job
Training an Approximation with Flow Adapter Factors
Parameter Usage Within the Calculator
Entering and Evaluating Expressions
About the Data Matching Adapter
About the Data Matching Functions
Data Matching Functions Reference
About the Delete Content Adapter
Configuring the OS Command Adapter
Configuring Single Line Command Options
Configuring Multiline Script Options
Configuring Predefined Applications
Configuring Environment Variables
About the Report Generation Adapter
Configuring the Report Generation Adapter
About Parameters Within Scripts
Representing a Parameter as Its Primitive Type
Inserting a Parameter as a Value Object
Inserting a Parameter as a Variable Object
About the General Text Parser Adapter
Reading a Scalar Parameter from a File
Reading an Array Parameter from a File
Reading a Resizable Array Parameter from a File
Writing a Scalar Parameter to a File
Writing an Array Parameter to a File
Writing a Resizable Array Parameter to a File
Reading or Writing a Name/Value Pair from or to a File
Specifying Word Separator Preferences
About Files and the Fast Parser
About the Syntax of Tags and Markers
About the Attribute Values Parser
Creating an Attribute Values Parse
Reading and Writing Parameter Names and Values
Using the Upload Step to Work Interactively
Configuring the 3DX Script Adapter
About the 3DEXPERIENCE App Adapter
Configuring the 3DEXPERIENCE App Adapter
3DEXPERIENCE Parameters Adapter
About the 3DEXPERIENCE Parameters Adapter
Configuring the 3DEXPERIENCE Parameters Adapter
Selecting and Mapping the Parameters
Configuring the Execution Options
Configuring the 3DEXPERIENCE Utility Adapter
Configuring the Pre-Execution Options
Configuring the Post-Execution Options
Configuring the Execution of a 3DEXPERIENCE Utility
Exporting an Object in V5 Format
Exporting an Object to a 3DXML file
Importing Objects From a 3DXML File
Configuring the Visualization of a Simulation Object
Exporting a Simulation to an Input File
Importing Simulation Results From a File
Saving Simulation Results to a File
Executing Modelica Functions and Scripts and CATIA System Behavior Simulations
Configuring the Utility's Execution Options
About the Design of Experiments Adapter
Configuring the Technique and Execution Options
Configuring the DOE Techniques
Configuring the Adaptive DOE Technique
Configuring the Data File Technique
Configuring the Fractional Factorial Technique
Configuring the Latin Hypercube Technique
Configuring the Optimal Latin Hypercube Technique
Configuring the Parameter Scan Technique
Configuring the Sobol Sequence Technique
Central Composite Design Technique
Fractional Factorial Design Technique
Full-Factorial Design Technique
Optimal Latin Hypercube Technique
Considerations When Using the Loop Adapter
About the Monte Carlo Sampling Techniques
About Probability Distributions
Configuring a Monte Carlo Simulation
Configuring the Monte Carlo Sampling Technique
Configuring the Monte Carlo Execution Options
Configuring the Random Variables
About the Optimization Adapter
About Optimization Feasibility
About the Optimization Techniques
An Overview of the Optimization Techniques
Adaptive Simulated Annealing Technique
Archive-Based Micro Genetic Technique
Evolutionary Optimization Algorithm (Evol)
Hooke-Jeeves Direct Search Method Technique
Mixed-Integer Sequential Quadratic Programming (MISQP) Technique
Modified Method of Feasible Directions (MMFD) Technique
Multifunction Optimization System Tool (MOST) Technique
Multi-Island Genetic Algorithm
Multi-Objective Particle Swarm Technique
Neighborhood Cultivation Genetic Algorithm (NCGA)
Sequential Quadratic Programming (NLPQL) Technique
Configuring the Optimization Adapter
Configuring the Technique and the Execution Options
Configuring the Optimization Techniques
Configuring the Adaptive DOE Optimization Technique
Configuring the Adaptive Simulated Annealing (ASA) Technique
Configuring the Archive-Based Micro Genetic Algorithm (AMGA) Technique
Configuring the Downhill Simplex Technique
Configuring the Evolutionary Optimization (EVOL) Algorithm
Configuring the Hooke-Jeeves Technique
Configuring the Mixed-Integer Sequential Quadratic Programming (MISQP) Technique
Configuring the Modified Method of Feasible Directions (MMFD) Technique
Configuring the Multifunction Optimization System Tool (MOST) Technique
Configuring the Multi-Island Genetic Algorithm Technique
Configuring the Multi-Objective Particle Swarm Technique
Configuring the Neighborhood Cultivation Genetic Algorithm (NCGA) Technique
Configuring the Pointer-2 Optimization Technique
Configuring the Pointer Automatic Optimization Technique
Configuring the Sequential Quadratic Programming (NLPQL) Technique
Configuring the Stress Ratio Technique
Configuring the Termination Criteria
Configuring the Design Variables
Parallel Execution of Workflows
Adapters Supported for Cloud Execution
Setting the 3DOrchestrate Stations
Launching a Local 3DOrchestrate Station
Configuring the Execution Options and Running a Job
Working Interactively with Objects