ANSYS and Dynardo sign definitive acquisition agreement
PITTSBURGH, October 24th, 2019
ANSYS (NASDAQ: ANSS), the global leader and...
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
- 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
- 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
Practical Application Examples
Robustness evaluation and robust design optimization of turbo machinery
Optimization of costly technical applications with surrogate-based optimization algorithms
Optimization characteristics of continuous fiber-reinforced plastics
Multi-Physics Optimization of an Axial Compressor, Application and Best-Practice
Automated Multi-Disciplinary Optimization (MDO) of a vehicle program
Distributors
optiSLang is sold worldwide. A list of our distributors can be found here.
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