Parametric {\it vs} non-parametric optimal design of induction heating devices

Issue title: Selected papers from the Heating by Electromagnetic Sources Conference 2013 (HES-2013)

Guest editors: Egbert Baake, Paolo Di Barba, Fabrizio Dughiero and Michele Forzan

Article type: Research Article

Authors: Di Barba, P.^a | Dughiero, F.^b | Forzan, M.^b | Sieni, E.^{b; *}

Affiliations: [a] Department of Industrial and Information Engineering, University of Pavia, Pavia, Italy | [b] Department of Industrial Engineering, University of Padova, Padova, Italy | Leibniz University of Hannover, Hannover, Germany | University of Pavia, Pavia, Italy | University of Padua, Padua, Italy

Correspondence: [*] Corresponding author: Elisabetta Sieni, Department of Industrial Engineering, University of Padova, Via Gradenigo 6/A 35131 Padova, Italy. Tel.: +39 049 827 7514; Fax: +39 049 827 7599; E-mail: [email protected]

Abstract: A comparison between a classical parametric NSGA (Non-dominated Sorting Genetic Algorithm) and a non-parametric NSKA (Non domination Sorting Kinetic Algorithm) optimization method is proposed on a benchmark problem of inverse induction heating characterized by two conflicting objectives.

Keywords: Finite elements, induction heating, coupled problems, parameter-free multiobjective optimization

DOI: 10.3233/JAE-141759

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 44, no. 2, pp. 193-199, 2014