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Distributed Evolutionary Design: Island-Model-based Optimization of Steel Skeleton Structures in Tall Buildings

  • This paper presents results of a study on distributed, or parallel, evolutionary computation in the topological design of steel structural systems in tall buildings. It describes results of extensive experimental research on various parallel evolutionary architectures applied to a complex structural design problem. The experiments were conducted using Inventor 2003, a networkbased evolutionaryThis paper presents results of a study on distributed, or parallel, evolutionary computation in the topological design of steel structural systems in tall buildings. It describes results of extensive experimental research on various parallel evolutionary architectures applied to a complex structural design problem. The experiments were conducted using Inventor 2003, a networkbased evolutionary design support tool developed at George Mason University. First, a general introduction to evolutionary computation is provided with an emphasis on recent developments in parallel evolutionary architectures. Next, a discussion of conceptual design of steel structural systems in tall buildings is presented. Further, Inventor 2003 is briefly introduced as well as its design representation and evolutionary computation characteristics. Next, the results obtained from systematic design experiments conducted with Inventor 2003 are discussed. The objective of these experiments was to qualitatively and quantitatively investigate evolution of steel structural systems in tall buildings during a distributed evolutionary design process as well as to compare efficiency and effectiveness of various parallel evolutionary architectures with the traditional evolutionary design approaches. Two connectivity topologies (ring topology and fully-connected topology) have been investigated for four populations of structural designs evolving in parallel and using various migration strategies. Also, results of the initial sensitivity studies are reported in which two ways of initializing distributed evolutionary design processes were investigated, using either arbitrarily selected designs as initial parents or randomly generated ones. Finally, initial research conclusions are presented.show moreshow less

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Metadaten
Document Type:Article
Author: Rafal Kicinger, Tomasz Arciszewski, Kenneth De Jong
DOI (Cite-Link):https://doi.org/10.25643/bauhaus-universitaet.219Cite-Link
URN (Cite-Link):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20111215-2195Cite-Link
Language:English
Date of Publication (online):2004/11/16
Year of first Publication:2004
Release Date:2004/11/16
Institutes:Fakultät Bauingenieurwesen / Professur Informatik im Bauwesen
GND Keyword:Mehragentensystem; Lernendes System; Stahlbau; Skelettbau; Optimierung
Source:International Conference on Computing in Civil and Building Engineering , ICCCBE , 10 , 2004.06.02-04 , Weimar , Bauhaus-Universität
Dewey Decimal Classification:600 Technik, Medizin, angewandte Wissenschaften / 620 Ingenieurwissenschaften / 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
BKL-Classification:54 Informatik / 54.89 Angewandte Informatik: Sonstiges
56 Bauwesen / 56.03 Methoden im Bauingenieurwesen
Collections:Bauhaus-Universität Weimar / International Conference on Computing in Civil and Building Engineering, ICCCBE, Weimar / International Conference on Computing in Civil and Building Engineering, ICCCBE, Weimar 10. 2004
Licence (German):License Logo In Copyright