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

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• 作者：Sancho Salcedo-Sanz ; ^{sancho.salcedo@uah.es} ; Angel M. Pé ; rez-Bellido ; Emilio G. Ortiz-Garcí ; a ; Jose A. Portilla-Figueras ; Silvia Jimé ; nez-Ferná ; ndez
• 关键词：Evolutionary programming ; Hybrid algorithms ; Tolerance analysis ; Tolerance design
• 刊名：Applied Soft Computing Journal
• 出版年：2012
• 期刊代码：9_15684946
• 类别：cp
• 出版时间：August, 2012
• 卷：12
• 期：8
• 页码：2425-2434
• 文件大小：987 K

摘要

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.