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

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.

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► An evolutionary programming to the worst case tolerance design problem is proposed.
► A hybridization of the EP with a local search is studied.
► Excellent results in test problems.
► Comparison with existing meta-heuristics in the literature.