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An improvement technique for Bi-directional Evolutionary Structural optimisation (BESO) method
Bi-directional Evolutionary Structural optimisation (BESO) method is now a well-known and popular method in
topology optimisation. A new interpretation of this method is presented in which the method is viewed as a twostep procedure. Based on this interpretation, a simple heuristic improvement technique is introduced to improve
BESO results. The proposed improvement technique is tested and verified through numerical examples and its
performance is compared with the averaging sensitivity stabilisation technique proposed in [1]. It is shown that the
proposed improvement is robuster than the averaging sensitivity technique.
topology optimisation. A new interpretation of this method is presented in which the method is viewed as a twostep procedure. Based on this interpretation, a simple heuristic improvement technique is introduced to improve
BESO results. The proposed improvement technique is tested and verified through numerical examples and its
performance is compared with the averaging sensitivity stabilisation technique proposed in [1]. It is shown that the
proposed improvement is robuster than the averaging sensitivity technique.
History
Event
International Society for Structural and Multidisciplinary Optimization. Congress (11th : 2015 : Sydney, N.S.W.)Series
International Society for Structural and Multidisciplinary Optimization CongressPagination
1 - 7Publisher
International Society for Structural and Multidisciplinary OptimizationLocation
Sydney, N.S.W.Place of publication
Sydney, N.S.W.Start date
2015-06-07End date
2015-06-12ISBN-13
978-0-646-94394-7Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2015, International Society for Structural and Multidisciplinary OptimizationEditor/Contributor(s)
Q Li, G Steven, Z ZhangTitle of proceedings
WCSMO-11 : Advances in structural and multidisciplinary optimization : Proceedings of the 11th World Congress on Structural and Multidisciplinary OptimisationUsage metrics
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