• 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

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

• 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

Robustness evaluation and robust design optimization of turbo machinery

Optimization of geometric features of circular saw blades and parameters of the manufacturing process aided by optiSLang

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

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