Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/76664
Title: Solving advanced multi-objective robust designs by means of multiple objective evolutionary algorithms (MOEA): A reliability application
Authors: Salazar A, Daniel E.
Rocco S, Claudio M.
UNESCO Clasification: 1207 Investigación operativa
Keywords: MOEA
Multiple-objective optimisation
Percentage representation
Robust design
Issue Date: 2007
Journal: Reliability Engineering and System Safety 
Abstract: This paper extends the approach proposed by the second author in [Rocco et al. Robust design using a hybrid-cellular-evolutionary and interval-arithmetic approach: a reliability application. In: Tarantola S, Saltelli A, editors. SAMO 2001: Methodological advances and useful applications of sensitivity analysis. Reliab Eng Syst Saf 2003;79(2):149-59 [special issue]] to obtain a robust system design. The approach based on the use of evolutionary algorithms and interval arithmetic finds the maximum-volume inner box (MIB) or the maximal ranges of variation for each variable that preserve pre-specified design/performance requirements. The original single-objective formulation considers the definition of a MIB around a specified centroid (case 1), or around an unspecified centroid (case 2). In this paper, both cases were successfully modified and solved as multiple-objective (MO) problems, showing the advantages of MO formulations in a design-selection decision framework. Special attention is devoted to the unspecified centre MO problem where the computational efficiency could be a critical issue. In that sense, a new procedure based on the "percentage representation" is proposed. This approach reduces drastically the computational burden, extending the possibilities of use of robust design.
URI: http://hdl.handle.net/10553/76664
ISSN: 0951-8320
DOI: 10.1016/j.ress.2006.03.003
Source: Reliability Engineering and System Safety [ISSN 0951-8320], v. 92 (6), p. 697-706, (Junio 2007)
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