Paper Info
Title
A hybrid evolutionary programming approach for optimal worst case tolerance design of magnetic devices
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.
Year
DOI
Venue
2012
10.1016/j.asoc.2012.03.048
Appl. Soft Comput.
Keywords
Field
DocType
hybrid algorithm,gradient-guided local search,different local searches procedure,magnetic device,magnetic circuit,optimal worst case tolerance,worst case tolerance design,existing bio-inspired heuristics,hybrid evolutionary programming approach,basic evolutionary programming approach,evolutionary programming
Mathematical optimization,Hybrid algorithm,Tolerance analysis,Heuristics,Artificial intelligence,Local search (optimization),Evolutionary programming,Machine learning,Mathematics,Magnetic circuit
Journal
Volume
Issue
ISSN
12
8
1568-4946
Citations 
PageRank 
References 
0
0.34
14
Authors
5
Name
Order
Citations
PageRank
Sancho Salcedo-Sanz158071.21
Angel M. Pérez-Bellido2211.97
Emilio G. Ortiz-García314010.54
Jose A. Portilla-Figueras4343.72
Silvia Jiménez-Fernández5295.46