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- W27218462 abstract "A substantial amount of research has been performed on the optimization of truss member sizes, nodal coordinates, and member connections. However, research that seeks to support conceptual design by simultaneously optimizing the topology, geometry, and member sizes of trusses is still uncommon. In addition, the majority of previous research efforts focus on problem domains that are limited to a structured domain, which is defined by pre-specifying design parameters. An unstructured domain, in comparison, only prescribes minimal design information to help remove many of the constraints placed on the search domain to be explored. The objective of this research is to develop a computational method that can obtain near-global optimal sets of roof truss designs by simultaneously optimizing truss topology, geometry, and member sizes in an unstructured design domain. The quality of the truss designs obtained using the proposed IRR GA computational method are evaluated by comparing the Pareto-optimal set of designs obtained with truss designs optimized using local methods and by human designers. It is concluded that the proposed method is efficient enough for a simultaneous optimization in an unstructured domain." @default.
- W27218462 created "2016-06-24" @default.
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- W27218462 date "2006-01-01" @default.
- W27218462 modified "2023-09-24" @default.
- W27218462 title "Development Of A Computational Method For Simultaneous Optimization In An Unstructured Design Domain" @default.
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