HPC Implementation of the Multipoint Approximation Method for Large Scale Design Optimization Problems Under Uncertainty

Vassili Toropov; Yury Korolev; Konstantin Barkalov; Evgeny Kozinov; Victor Gergel

doi:10.1007/978-3-319-97773-7_27

HPC Implementation of the Multipoint Approximation Method for Large Scale Design Optimization Problems Under Uncertainty

Vassili Toropov, Yury Korolev, Konstantin Barkalov, Evgeny Kozinov, Victor Gergel

Department of Mathematical Sciences

Research output: Chapter or section in a book/report/conference proceeding › Chapter or section

Abstract

The paper presents an HPC implementation of the Multipoint Approximation Method (MAM) applied to problems with uncertainty in design variables as well as in additional environmental variables. The approach relies on approximations built in the combined space of design variables and environmental variables, and subsequent application of a risk measure and optimization with respect to the deterministic design variables, all within the iterative trust-region-based framework of MAM.

Original language	English
Title of host publication	EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization
Editors	H.C. Rodrigues, J. Herskovits, C.M. Mota Soares, A.L. Araújo, J.M. Guedes, J.O. Folgado, F. Moleiro, J. F. A. Madeira
Place of Publication	Cham, Switzerland
Publisher	Springer International Publishing
Pages	296-306
ISBN (Electronic)	9783319977737
ISBN (Print)	9783319977720
DOIs	https://doi.org/10.1007/978-3-319-97773-7_27
Publication status	Published - 14 Sept 2018

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Toropov, V., Korolev, Y., Barkalov, K., Kozinov, E., & Gergel, V. (2018). HPC Implementation of the Multipoint Approximation Method for Large Scale Design Optimization Problems Under Uncertainty. In H. C. Rodrigues, J. Herskovits, C. M. Mota Soares, A. L. Araújo, J. M. Guedes, J. O. Folgado, F. Moleiro, & J. F. A. Madeira (Eds.), EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization (pp. 296-306). Article Chapter 27 Springer International Publishing. https://doi.org/10.1007/978-3-319-97773-7_27

HPC Implementation of the Multipoint Approximation Method for Large Scale Design Optimization Problems Under Uncertainty. / Toropov, Vassili; Korolev, Yury; Barkalov, Konstantin et al.
EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization. ed. / H.C. Rodrigues; J. Herskovits; C.M. Mota Soares; A.L. Araújo; J.M. Guedes; J.O. Folgado; F. Moleiro; J. F. A. Madeira. Cham, Switzerland: Springer International Publishing, 2018. p. 296-306 Chapter 27.

Research output: Chapter or section in a book/report/conference proceeding › Chapter or section

Toropov, V, Korolev, Y, Barkalov, K, Kozinov, E & Gergel, V 2018, HPC Implementation of the Multipoint Approximation Method for Large Scale Design Optimization Problems Under Uncertainty. in HC Rodrigues, J Herskovits, CM Mota Soares, AL Araújo, JM Guedes, JO Folgado, F Moleiro & JFA Madeira (eds), EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization., Chapter 27, Springer International Publishing, Cham, Switzerland, pp. 296-306. https://doi.org/10.1007/978-3-319-97773-7_27

Toropov V, Korolev Y, Barkalov K, Kozinov E, Gergel V. HPC Implementation of the Multipoint Approximation Method for Large Scale Design Optimization Problems Under Uncertainty. In Rodrigues HC, Herskovits J, Mota Soares CM, Araújo AL, Guedes JM, Folgado JO, Moleiro F, Madeira JFA, editors, EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization. Cham, Switzerland: Springer International Publishing. 2018. p. 296-306. Chapter 27 doi: 10.1007/978-3-319-97773-7_27

Toropov, Vassili ; Korolev, Yury ; Barkalov, Konstantin et al. / HPC Implementation of the Multipoint Approximation Method for Large Scale Design Optimization Problems Under Uncertainty. EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization. editor / H.C. Rodrigues ; J. Herskovits ; C.M. Mota Soares ; A.L. Araújo ; J.M. Guedes ; J.O. Folgado ; F. Moleiro ; J. F. A. Madeira. Cham, Switzerland : Springer International Publishing, 2018. pp. 296-306

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HPC Implementation of the Multipoint Approximation Method for Large Scale Design Optimization Problems Under Uncertainty

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