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EGC
2005
Springer

A Service Oriented Architecture for Decision Making in Engineering Design

10 years 5 months ago
A Service Oriented Architecture for Decision Making in Engineering Design
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 computeintensive 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.
Alex Shenfield, Peter J. Fleming
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where EGC
Authors Alex Shenfield, Peter J. Fleming
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