Article ID Journal Published Year Pages File Type
499251 Computer Methods in Applied Mechanics and Engineering 2008 12 Pages PDF
Abstract

This article presents a brief survey on some of the most relevant developments in the field of optimization under uncertainty. In particular, the scope and the relevance of the papers included in this Special Issue are analyzed. The importance of uncertainty quantification and optimization techniques for producing improved models and designs is thoroughly discussed. The focus of the discussion is in three specific research areas, namely reliability-based optimization, robust design optimization and model updating. The arguments presented indicate that optimization under uncertainty should become customary in engineering design in the foreseeable future. Computational aspects play a key role in analyzing and modeling realistic systems and structures.

Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
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