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  Design Exploration
Solve complex engineering problems with state-of-the-art tools for DoE, UQ and design optimization.

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Predict response values for new designs, accelerate complex simulations and capture knowledge from vast amounts of data.

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Integrate all your CAD/CAE packages into a single workflow, explore virtual prototype behavior and eliminate repetitive tasks with automation.

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Automatic choosing of appropriate and the most effective DoE, UQ, optimization and predictive modeling algorithms.

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Improve collaboration within and between the teams with simultaneous multi-user access and co-authoring of the workflows in real-time.

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Run many resource-consuming simulation workflows simultaneously without interruption with a built-in resource manager.

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Share simulation methodologies with other users across and outside the organization in a from of workflow-powered web apps.

  Integration with PLM / SPDM
Boost PLM / SPDM systems with enhanced simulation workflow execution.

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Multi-objective Optimization of Aircrafts Family at Conceptual Design Stage

June 26, 2013

Alestra S., Brand C., Druot T., Morozov S.

IPDO 2013 : 4th Inverse problems, design and optimization symposium, 2013 June 26-28, Albi, ed. by O. Fudym, J.-L. Battaglia, G.S. Dulikravich et al., Albi ; Ecole des Mines d'Albi-Carmaux, 2013 (ISBN 979-10-91526-01-2)

Keywords: Optimization, Multi-Objective Optimization, Aerospace

Surrogate Modeling of Stability Constraints for Optimization of Composite Structures

June 10, 2013

Grihon S., Burnaev E., Belyaev M., Prikhodko P.

Surrogate-Based Modeling and Optimization. Engineering applications / Edited by S. Koziel, L. Leifsson. 2013. P. 359–391.

Keywords: Approximation, HDA, Optimization, Surrogate-Based Optimization, Aerospace, Composites

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Approximation of a Multidimensional Dependency Based on a Linear Expansion in a Dictionary of Parametric Functions

June 9, 2013

Belyaev M.G., Burnaev E.V.

Informatics and its Applications. 2013. V. 7, №. 3. P. 114-125.

Keywords: Approximation, HDA

Evidence Optimization for Consequently Generated Models

June 8, 2013

Strijov V., Krymova E., Weber G.W.

Mathematical and Computer Modelling. 2013. V. 57. P. 50-56.

Keywords: Approximation

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Approximating the Convex Edgeworth-Pareto Hull in Integer Multi-objective Problems with Monotone Criteria

December 6, 2012

Pospelov A.I.

Computational Mathematics and Mathematical Physics, 2009, Volume 49, Issue 10, pp 1686-1699

Keywords: Optimization, Multi-Objective Optimization, Approximation

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Extraction of the Most Sensitive Directions via Gaussian Process Modeling

October 10, 2012

Burnaev E., Erofeev P., Prikhodko P.

Poster for the conference "Uncertainties in Computer Models 2012" (Sheffield)

Keywords: Data Analysis, Dimension Reduction

Comparative Study of Nonlinear Methods for Manifold Learning

October 10, 2012

Bernstein A., Burnaev E., Erofeev P.

Proc. of the conf. "Information Technologies and Systems". 2012. P. 85–91.

Keywords: Data Analysis, Dimension Reduction

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Publications

Keywords

Multi-objective Optimization of Aircrafts Family at Conceptual Design Stage

Surrogate Modeling of Stability Constraints for Optimization of Composite Structures

Approximation of a Multidimensional Dependency Based on a Linear Expansion in a Dictionary of Parametric Functions

Evidence Optimization for Consequently Generated Models

Approximating the Convex Edgeworth-Pareto Hull in Integer Multi-objective Problems with Monotone Criteria

Extraction of the Most Sensitive Directions via Gaussian Process Modeling

Comparative Study of Nonlinear Methods for Manifold Learning

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