BlueM.Opt

BlueM.Opt | Usage | Development

Simulation-based optimization

Screenshot

Description

BlueM.Opt is an optimization framework that allows an arbitrary simulation software to combine (only requirement: Input data and results are to be stored in ASCII format) with an optimization. The optimized parameters, objective functions and (optionally) boundary can be easily determined.

Optimization results are stored in a database.

BlueM.Opt integrates a powerful function graph with the optimization results are displayed and can be analyzed.

List of available methods (optimization algorithms):

• PES: Parametric Evolution Strategy
• CES: Combinatorial Evolution Strategy
• HYBRID: Combination of PES and CES
• Hooke & Jeeves: Hillclimbing Algorithm
• MetaEvo: multi-criterion, hybrid optimization algorithm
• DDS: Dynamically Dimensioned Search

another method is

• SensiPlot: Sensitivity analysis (no optimization)

Downloads

• BlueM.Opt Downloads

Application

• Instructions for the Application of BlueM.Opt (PDF-Export)
• Documentation of the input files
• Documentation of the output files

Development

• BlueM.Opt Development
  • Disambiguation
  • Documentation of the Codes
  • Bugs management: Bugzilla
  • Compilation

Internal

• Documentation of the SVN Repository