A hybrid evolutionary programming approach for optimal worst case tolerance design of magnetic devices

Authors:
Sancho Salcedo-Sanz;Angel M. PéRez-Bellido;Emilio G. Ortiz-GarcíA;Jose A. Portilla-Figueras;Silvia JiméNez-FernáNdez
Affiliations:
Department of Signal Theory and Communications, Universidad de Alcalá, Spain;Department of Signal Theory and Communications, Universidad de Alcalá, Spain;Department of Signal Theory and Communications, Universidad de Alcalá, Spain;Department of Signal Theory and Communications, Universidad de Alcalá, Spain;Department of Signal Theory and Communications, Universidad de Alcalá, Spain
Venue:
Applied Soft Computing
Year:
2012

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Abstract

This paper presents a hybrid evolutionary programming approach to solve the worst case tolerance design problem (WCTDP) in magnetic devices. The hybrid algorithm is formed by a basic evolutionary programming approach, mixed with a gradient-guided local search. Two different local searches procedures are tested in the paper, both specially designed to be effective in the WCTDP. Simulations on an example in the design of a magnetic circuit and comparison with several existing bio-inspired heuristics are carried out, and have shown the goodness of our algorithm.