Shenfield, A. and Fleming, P.J. (2004) A service oriented architecture for engineering design. Research Report. ACSE Research Report no. 877 . Automatic Control and Systems Engineering, University of Sheffield
Abstract
Decision making in engineering design can be effectively addressed by using genetic algorithms to solve multi-objective problems. These multi-objective genetic algorithms (MOGAs) are well suited to implementation in a Service Oriented Architecture. Often the evaluation process of the MOGA is compute-intensive due to the use of a complex computer model to represent the real-world system. The emerging paradigm of Grid Computing offers a potential solution to the compute-intensive nature of this objective function evaluation, by allowing access to large amounts of compute resources in a distributed manner. This paper presents a grid-enabled framework for multi-objective optimisation using genetic algorithms (MOGA-G) to aid decision making in engineering design.
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) > ACSE Research Reports |
Depositing User: | Miss Anthea Tucker |
Date Deposited: | 29 Oct 2012 09:58 |
Last Modified: | 10 Jun 2014 09:32 |
Status: | Published |
Publisher: | Automatic Control and Systems Engineering, University of Sheffield |
Series Name: | ACSE Research Report no. 877 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:74702 |