A service oriented architecture for decision making in engineering design

SHENFIELD, Alex and FLEMING, Peter (2005). A service oriented architecture for decision making in engineering design. In: SLOOT, Peter M A, HOEKSTRA, Alfons G and PRIOL, Thierry, (eds.) Advances in Grid Computing : EGC 2005 : European Grid Conference, Amsterdam, the Netherlands, February 14-16, 2005, Revised Selected Papers. Lecture Notes in Computer Science (3470). Springer.

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Official URL: http://link.springer.com/chapter/10.1007%2F1150838...


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.

Item Type: Book Section
Research Institute, Centre or Group - Does NOT include content added after October 2018: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Depositing User: Alex Shenfield
Date Deposited: 06 Aug 2014 09:20
Last Modified: 18 Mar 2021 14:32
URI: https://shura.shu.ac.uk/id/eprint/8316

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