|Title:||A hybrid approach based on evolutionary strategies and interval arithmetic to perform robust designs||Authors:||Rocco S., Claudio M.
Salazar A., Daniel E.
|Issue Date:||2007||Publisher:||Springer||Journal:||Studies in Computational Intelligence||Abstract:||This chapter proposes an approach based on the use of Evolutionary Algorithms (EA) and Interval Arithmetic (IA) as an alternative technique to obtain a robust system design. EA are heuristics to optimise a given function, while IA is used as a checking technique to guarantee the feasibility of the design. IA is able to consider simultaneously the effects of uncertainty of all of the parameters on a performance function providing strict bounds (minimum and maximum values) with only one evaluation. EA and IA are used to obtain, by an iterative process, a robust design, that is, the maximum size of each variable deviation that allows complying with a set of specifications. The proposed approach is an indirect method based on optimization instead of a direct method based on mapping from the output into the input space. Numerical examples from the reliability field illustrate the application of the approach using single and multiple objective formulations.||URI:||http://hdl.handle.net/10553/76371||ISBN:||3540497722||ISSN:||1860-949X||DOI:||10.1007/978-3-540-49774-5_24||Source:||Studies in Computational Intelligence [ISSN 1860-949X], v. 51, p. 543-564, (Abril 2007)|
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