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Multidisciplinary Optimization

optiSLang provides powerful optimization algorithms and automated workflows for an efficient determination of optimal design parameters regarding various multidisciplinary, nonlinear and multicriteria optimization tasks.

Best Practice
Multidisciplinary optimization with optiSLang
  • Identification of the most relevant input parameters and response values with the help of sensitivity analysis and MOP
  • Pre-optimization of parameter sets and studying possible objective conflicts using the MOP approximation
  • Optimization wizard for automatic selection of suitable algorithms for optimization
  • Easy definition of parameter ranges, single and multiple objectives and constraints

Methods
Example of basic methodology
  • Gradient-based methods (NLPQL)
  • Nature-inspired Optimization Algorithms (NOA) for single and multiobjective optimization
  • Adaptive Response Surface Method (ARSM)
  • Customized optimization algorithms

Postprocessing & Visualization
  • Interactive postprocessing adapted to the optimization algorithm
  • Fast investigation of optimization performance using different visualization options
  • Parallel coordinate plots and cluster analysis for selection of best design candidates
  • Selection of individual designs and easy visualization of nonscalar results as time-series, 3D-field data, automated animation
  • Objective history plot for single objectives, 2D and 3D Pareto plots for multiple objectives

Distributors

optiSLang is sold worldwide. A list of our distributors can be found here.

List of distributors

Your contact person

Dr.-Ing. Johannes Will

Fon: +49 (0) 3643 9008-30
Fax: +49 (0) 3643 9008-39

Contact via e-mail

RDO