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Grid enabled optimisation and design search (GEODISE)

Authors: Cox, S.J.; Chen, Liming; Campobasso, S.; Duta, M.H.; Eres, M.H.; Giles, M.B.; Goble, C.; +8 Authors

Grid enabled optimisation and design search (GEODISE)

Abstract

During the process of optimisation and design search, the modelling nad analysis of engineering problems are exploited to yield improved designs. The engineer explores various design parameters that he wishes to optimise and a measure of the quality of a particular design (the objective function) is computed using an appropriate model. A number of algorithms may be used to yield more information about the behaviour of a model, and to minimise/maximise the objective function, and hence improve the quality of the design. This process may include lengthy and repetitive calculations to obtain the value of the objective function with respect to the design variables.

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United Kingdom
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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