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

Autor:	Ángel M. Pérez-Bellido, Silvia Jiménez-Fernández, Jose A. Portilla-Figueras, Sancho Salcedo-Sanz, Emilio G. Ortiz-García
Rok vydání:	2012
Předmět:	Mathematical optimization business.industry Computer science Local search (optimization) business Heuristics Tolerance design Hybrid algorithm Algorithm Software Evolutionary programming
Zdroj:	Applied Soft Computing. 12:2425-2434
ISSN:	1568-4946
DOI:	10.1016/j.asoc.2012.03.048
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::507c8d1446794e03ad5bd05bc210b9ee https://doi.org/10.1016/j.asoc.2012.03.048 Zobrazit plný text záznamu Full Text from ScienceDirect