Simplex‐based adaptive parametric model order reduction for applications in optimization. (27th June 2017)

• Record Type: Journal Article
• Authors: A. O. Leite, Mateus; Delinchant, Benoit; Guichon, Jean‐Michel; A. Vasconcelos, João
• Other Names: Laudani Antonino guestEditor.; Fulginei Francesco Riganti guestEditor.; Salvini Alessandro guestEditor.
• Is Part Of: International journal of numerical modelling. Volume 32:Number 4(2019)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2017-06-27
• Subjects: dynamic systems -- moment matching -- parametric model order reduction; Electric networks -- Mathematical models -- Periodicals; Electronics -- Mathematical models -- Periodicals; 621.3011
• DOI: 10.1002/jnm.2264
• Languages: English
• ISSNs: 0894-3370

Abstract

Abstract: A new methodology for optimization using parametric reduced order models is introduced. An adaptive scheme to place the expansion points in the reduction step is combined with a smart parametric space sampling in the optimization step to produce very reliable reduced order models. The methodology is illustrated in a demonstrative electromagnetic problem with appreciable gain in computational time. This technique is of general application and can be used to speed up optimization processes in many areas of engineering.