Sequential Element Rejections and Admissions (SERA) method: Application to multiconstraint problems

George I.N. Rozvany, Osvaldo M. Querin, Janos Logo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

The heuristic topology optimization technique Sequential Element Rejections and Admissions (SERA), is discussed. The fundamental error of SERA is caused by the fact that event first order sensitivity is based on an infinitesimal change, whilst element estimation or admission represents a very large finite change. The improvements suggested of SERA are such as cancellation of temporary banning of a particular element change if computational comparisons show that it violates the fundamental assumptions, and higher order approximations using higher order sensitivities for more accurate estimation of the change of objective function caused by an element change.

Original languageEnglish
Title of host publicationCollection of Technical Papers - 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
Pages2459-2464
Number of pages6
Publication statusPublished - 2004
EventCollection of Technical Papers - 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference - Albany, NY, United States
Duration: Aug 30 2004Sep 1 2004

Publication series

NameCollection of Technical Papers - 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
Volume4

Other

OtherCollection of Technical Papers - 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
CountryUnited States
CityAlbany, NY
Period8/30/049/1/04

ASJC Scopus subject areas

  • Engineering(all)

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    Rozvany, G. I. N., Querin, O. M., & Logo, J. (2004). Sequential Element Rejections and Admissions (SERA) method: Application to multiconstraint problems. In Collection of Technical Papers - 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference (pp. 2459-2464). (Collection of Technical Papers - 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference; Vol. 4).