Grid Services for Multi-objective Optimisation
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.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.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.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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