Skip to Main content Skip to Navigation
Journal articles

An iterative method for selecting decision variables in analytical optimization problem

Abstract : In this paper, we present an iterative method to assist the designer in the setting of decision variables in an optimization problem with analytical models. This method is based on the Design Structure Matrix (DSM) which allows a clear representation of interactions between variables. Such a process becomes particularly useful for complex optimal design for which choosing the right decision variables to efficiently solve the problem is not so trivial. This approach is applied to the geometrical model of a High Speed Permanent Magnet Synchronous Machine (HSPMSM)
Document type :
Journal articles
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-01509841
Contributor : Open Archive Toulouse Archive Ouverte (oatao) <>
Submitted on : Tuesday, April 18, 2017 - 3:40:39 PM
Last modification on : Wednesday, June 10, 2020 - 5:28:07 PM
Long-term archiving on: : Wednesday, July 19, 2017 - 3:29:54 PM

File

ounis_17735.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Houdhayfa Ounis, Xavier Roboam, Bruno Sareni. An iterative method for selecting decision variables in analytical optimization problem. International Journal of Applied Electromagnetics and Mechanics, IOS Press 2017, vol. 53 (n° S2), pp. S167-S178. ⟨10.3233/JAE-140159⟩. ⟨hal-01509841⟩

Share

Metrics

Record views

126

Files downloads

464