An iterative method for selecting decision variables in analytical optimization problem | Zendy

Houdhayfa Ounis | Zendy; Xavier Roboam | Zendy; Bruno Sareni | Zendy

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An iterative method for selecting decision variables in analytical optimization problem

Author(s) -

Houdhayfa Ounis,

Xavier Roboam,

Bruno Sareni

Publication year - 2016

Publication title -

international journal of applied electromagnetics and mechanics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.239

H-Index - 30

eISSN - 1875-8800

pISSN - 1383-5416

DOI - 10.3233/jae-140159

Subject(s) - representation (politics) , mathematical optimization , computer science , design matrix , iterative method , matrix (chemical analysis) , matrix representation , optimization problem , mathematics , machine learning , linear model , chemistry , materials science , organic chemistry , politics , political science , law , composite material , group (periodic table)

International audienceIn 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

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