The ESO method revisited
Article
Article Title | The ESO method revisited |
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ERA Journal ID | 3820 |
Article Category | Article |
Authors | |
Author | Ghabraie, Kazem |
Journal Title | Structural and Multidisciplinary Optimization |
Journal Citation | 51 (6), pp. 1211-1222 |
Number of Pages | 12 |
Year | 2015 |
Publisher | Springer |
Place of Publication | Heidelberg, Germany |
ISSN | 1615-147X |
1615-1488 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s00158-014-1208-6 |
Web Address (URL) | http://link.springer.com/article/10.1007%2Fs00158-014-1208-6 |
Abstract | This paper examines the evolutionary structural optimisation (ESO) method and its shortcomings. By proposing a problem statement for ESO followed by an accurate sensitivity analysis a framework is presented in which ESO is mathematically justifiable. It is shown that when using a sufficiently accurate sensitivity analysis, ESO method is not prone to the problem proposed by Zhou and Rozvany (Struct Multidiscip Optim 21(1):80–83, 2001). A complementary discussion on previous communications about ESO and strategies to overcome the Zhou-Rozvany problem is also presented. Finally it is shown that even the proposed rigorous ESO approach can result in highly inefficient local optima. It is discussed that the reason behind this shortcoming is ESO's inherent unidirectional approach. It is thus concluded that the ESO method should only be used on a very limited class of optimisation problems where the problem's constraints demand a unidirectional approach to final solutions. It is also discussed that the Bidirectional ESO (BESO) method is not prone to this shortcoming and it is suggested that the two methods be considered as completely separate optimisation techniques. |
Keywords | bidirectional evolutionary structural optimization; BESO; compliance design; evolutionary structural optimization; ESO; hard-kill methods; sensitivity analysis; sequential element rejection and admission; SERA |
ANZSRC Field of Research 2020 | 490206. Statistical mechanics, physical combinatorics and mathematical aspects of condensed matter |
400510. Structural engineering | |
490304. Optimisation | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | School of Civil Engineering and Surveying |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q2w53/the-eso-method-revisited
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