Grid Services for Multi-objective Optimisation

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dc.contributor.author Goteng, Gokop
dc.contributor.author Tiwari, Ashutosh
dc.contributor.author Roy, Rajkumar
dc.contributor.editor Rajkumar Roy
dc.contributor.editor Essam Shehab
dc.date.accessioned 2009-10-06T10:19:26Z
dc.date.available 2009-10-06T10:19:26Z
dc.date.copyright 2009
dc.date.issued 2009-03-31
dc.identifier.citation G. Goteng, A. Tiwari, R. Roy, Grid Services for Multi-objective Optimisation, Proceedings of the 19th CIRP Design Conference – Competitive Design, Cranfield University, 30-31 March 2009, pp73 en_UK
dc.identifier.isbn 978-0-9557436-4-1
dc.identifier.uri http://hdl.handle.net/1826/3774
dc.description Organised by: Cranfield University en_UK
dc.description.abstract The emerging grid technology is defined as an infrastructure for secure and coordinated large-scale resource sharing. In this paper, we describe the architecture and grid services of DECGrid. DECGrid enables distributed design experts to collaborate and share resources during design optimisation. Mathematical models are built using services by experts. These models are then directly linked to NSGA-II optimisation algorithm service and allow design experts to enter design parameters of their choice. A real-life case study-welded beam problem was used to validate the prototype. The results obtained showed a wider spread in the solution space compared to the results in literature. en_UK
dc.description.sponsorship Mori Seiki – The Machine Tool Company en_UK
dc.language.iso en en_UK
dc.publisher Cranfield University Press en_UK
dc.relation.ispartof Proceedings of the 19th CIRP Design Conference – Competitive Design
dc.rights Copyright: Cranfield University 2009
dc.subject Grid services en_UK
dc.subject Multi-objective optimisation en_UK
dc.subject design optimisation en_UK
dc.subject Mathematical model en_UK
dc.title Grid Services for Multi-objective Optimisation en_UK
dc.type Conference paper en_UK


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