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SimWrapper Standard

SKU: OPT10ASL-EN
SimWrapperTM is a GUI based version of the popular optimization package OptQuest. It easily integrates with your simulation models (in R, Python, Matlab, Julia,...) and provides an intuitive user interface for simulation, optimization and analysis. .
$3,500.00
$3,150.00
Products specifications
Available for Mac
Requires other Software? R, Python, Julia, Matlab, Octave
Scripting Support Built In
Simulation Monte Carlo
CSV Support
Monte Carlo Sampling
Sensitivity Analysis
Probability calculations functions
Correlation
Multi-Core Support
Example Models
Network Licensing Available
Linear Optimization Methods
Non-Linear Optimization Methods
Requirements / Soft Constraints
Max Requirements Unlimited
Max Decision Variables 50
Solution Filtering
Efficient Frontier
Scenario Analysis Support
Genetic Algorithims
Ranges for Decision Variables
Main Solver Engine OptQuest
Optimize multiple statistics As defined in your script
Optimization Goal Types Minimize & Maximize
Static Optimization Support
Dynamic Optimization Support
Stochastic Optimization Support
Multiple Linear Regression
Visualize Simulated Output
Error Measures
Interface with your model through any executable (Java, C++, C#, Python, Perl, R, etc.)
Sample code in Java, Python, R
Decision Variable Types Discrete, Integer, Continous, Binary
Multi-Objective Optimization
External Sampling
Influential Variable Analysis
Good and Bad Region Analysis
Solution Filtering for Analysis
CART Tree Analysis
Batch Run Capability
Design of Experiments Capability
Continue a saved optimization at a later time
Results Plotting Capability 2D Plotting Only
Product description

Bring the power of OptQuest to your coded models in minutes!


SimWrapperTM  quickly and easily integrates with your custom simulation model providing an intuitive user interface for simulation optimization and analytics.
Build your model in Java, Python, R, Matlab, Julia, or any other language or framework, and then use SimWrapper to perform optimization, experimental design, sampling,  batch runs, and  analytics on your model.

Analysts invest large amounts of time and money creating a simulation tool, populating it with data, and validating it for use. However, analysts rarely, if ever, retrieve all of the knowledge and insights that the model may yield.
 

SimWrapper...

  • Automates optimization, design of experiments, batch runs, and post -run analytics eliminating  tedious manual scenario manipulation
  • Builds complextradespaces for  multiple objectives
  • to identify influential variables and  good operating regions
  • Supports parallel runs locally or on a  computing  cluster


You provide a custom executable in any language that manages the interface between SimWrapper and your model. This executable performs three  tasks:

  1. Updates the simulation model inputs as specified by SimWrapper
  2. Executes the  simulation model
  3. Retrieves the simulation model outputs


Once you have a  model, use SimWrapper to answer questions  like:

  1. What configurations of the model inputs yield the best and worst model output values?
  2. For a model output, which model inputs have the greatest impact? Are there model inputs that have no impact on the model outputs?
  3. With multiple competing objectives what are the best possible tradeoffs between them?


Answers to these questions are not only important for validating the legitimacy of the model, but they provide key insights for decision makers within the organization, increasing the return on investment of  your simulation  studies.
 

Cross Platform Support

SimWrapper is, a cross-platform, Java application that can be used to wrap virtually any new or legacy simulation model. You can run it on Windows, Mac, or Linux, wherever  your model runs. The user interface guides the user through specifying the simulation inputs to vary and the simulation outputs to collect. SimWrapper interacts with   OptQuest  (OptTek’s  proprietary optimization engine)  to perform optimization, design of experiments, sampling, and batch runs. SimWrapper then uses OptAnalysis (OptTek’s library of analytical tools  supporting  simulation output) to  analyze completed simulation runs and provide information on simulation input sensitivities and good and bad regions of the defined tradespace. SimWrapper also provides two - and three- dimensional plotting of simulation inputs and outputs to visually explore the executed simulation runs.
 

Additional information
Vendor: OPTTEK
Products specifications
Available for Mac
Requires other Software? R, Python, Julia, Matlab, Octave
Scripting Support Built In
Simulation Monte Carlo
CSV Support
Monte Carlo Sampling
Sensitivity Analysis
Probability calculations functions
Correlation
Multi-Core Support
Example Models
Network Licensing Available
Linear Optimization Methods
Non-Linear Optimization Methods
Requirements / Soft Constraints
Max Requirements Unlimited
Max Decision Variables 50
Solution Filtering
Efficient Frontier
Scenario Analysis Support
Genetic Algorithims
Ranges for Decision Variables
Main Solver Engine OptQuest
Optimize multiple statistics As defined in your script
Optimization Goal Types Minimize & Maximize
Static Optimization Support
Dynamic Optimization Support
Stochastic Optimization Support
Multiple Linear Regression
Visualize Simulated Output
Error Measures
Interface with your model through any executable (Java, C++, C#, Python, Perl, R, etc.)
Sample code in Java, Python, R
Decision Variable Types Discrete, Integer, Continous, Binary
Multi-Objective Optimization
External Sampling
Influential Variable Analysis
Good and Bad Region Analysis
Solution Filtering for Analysis
CART Tree Analysis
Batch Run Capability
Design of Experiments Capability
Continue a saved optimization at a later time
Results Plotting Capability 2D Plotting Only