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)
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International Journal of Applied Electromagnetics and Mechanics, IOS Press 2017, vol. 53 (n° S2), pp. S167-S178. 〈10.3233/JAE-140159〉
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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〉

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