An iterative method for selecting decision variables in analytical optimization problem

Issue title: Special Supplement Issue: Selected papers from the 13th International Workshop on Optimization and Inverse Problems in Electromagnetism (OIPE 2014)

Guest editors: Domenico Lahaye

Article type: Research Article

Authors: Ounis, H.^* | Roboam, X. | Sareni, B.

Affiliations: Université de Toulouse, LAPLACE, Toulouse, France

Correspondence: [*] Corresponding author: H. Ounis, Université de Toulouse, LAPLACE (UMR CNRS-INPT-UPS), ENSEEIHT, 2 rue Camichel, 31 071 Toulouse Cedex 7, France. E-mail:ounis@laplace.univ-tlse.fr

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).

Keywords: DSM (Design Structure Matrix), decision variables, optimization, model structuring

DOI: 10.3233/JAE-140159

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 53, no. S2, pp. S167-S178, 2017