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Niching genetic algorithms for optimization in electromagnetics. II. Shape optimization of electrodes using the CSM

Sareni, Bruno and Krähenbühl, Laurent and Muller, Daniel Niching genetic algorithms for optimization in electromagnetics. II. Shape optimization of electrodes using the CSM. (1998) IEEE Transactions on Magnetics, vol. 34 (n° 5). pp. 2988-2991. ISSN 0018-9464

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Official URL: http://dx.doi.org/10.1109/20.717698

Abstract

In this paper, we present a new approach for automatic design of electrodes. The investigated method consists in identifying an optimal shape from an optimal equipotential resulting from a system of point charges. The electric field and potential are computed using the point charge simulation method. Niching genetic algorithms and constrained optimization techniques are applied to the electrode benchmark in order to find multiple optimal profiles.

Item Type:Article
Additional Information:Thanks to IEEE editor. The original publication is available at http://ieeexplore.ieee.org
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Other partners > Institut National des Sciences Appliquées de Lyon - INSA (FRANCE)
Other partners > Université Claude Bernard-Lyon I - UCBL (FRANCE)
Other partners > Ecole Centrale de Lyon (FRANCE)
Laboratory name:
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Deposited By: Bruno SARENI
Deposited On:19 Dec 2012 09:25

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