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

作者：Salcedo Sanz Sancho^*; Perez Bellido Angel M; Ortiz Garcia Emilio G; Portilla Figueras Jose A; Jimenez Fernandez Silvia

来源：Applied Soft Computing, 2012, 12(8): 2425-2434.

DOI：10.1016/j.asoc.2012.03.048

• Evolutionary programming
• Hybrid algorithms
• Tolerance analysis
• Tolerance design

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.

• 出版日期2012-8