Hybrid Algorithm for Multi-objective Optimization of PMSM using massively distributed Finite Element Analysis

Krotsch J, Piepenbreier B (2010)

Publication Type: Conference contribution

Publication year: 2010

Edited Volumes: Proceedings of the International Conference on Optimisation of Electrical and Electronic Equipment, OPTIM

Pages Range: 307-314

Conference Proceedings Title: Optimization of Electrical and Electronic Equipment

Event location: Moieciu, Brasov County RO

ISBN: 978-1-4244-7020-4

DOI: 10.1109/OPTIM.2010.5510429

Abstract

A hybrid multi-objective optimization algorithm based on partial aspects of evolution strategy combining stochastic and deterministic elements with the aim of a high efficiency and high scalability suitable for massively distributed finite element analysis is investigated. The selection and generation process of solution candidates depend on density in design variable and objective space. New solution candidates are generated by stochastic variation but also systematically using a triangular grid. With respect to effective design analysis an approximation method is used. The proposed algorithm is evaluated using test cases and is successfully applied to dimension and shape optimization of a permanent magnet synchronous motor. ©2010 IEEE.

Authors with CRIS profile

Jens Krotsch Lehrstuhl für Elektrische Energietechnik Bernhard Piepenbreier Lehrstuhl für Elektrische Energietechnik

How to cite

APA:

Krotsch, J., & Piepenbreier, B. (2010). Hybrid Algorithm for Multi-objective Optimization of PMSM using massively distributed Finite Element Analysis. In Optimization of Electrical and Electronic Equipment (pp. 307-314). Moieciu, Brasov County, RO.

MLA:

Krotsch, Jens, and Bernhard Piepenbreier. "Hybrid Algorithm for Multi-objective Optimization of PMSM using massively distributed Finite Element Analysis." Proceedings of the OPTIM 2010, Moieciu, Brasov County 2010. 307-314.

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