Genetic algorithm search for stent design improvements

Tesch, K; Atherton, MA; Collins, MW

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/7604

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DC Field	Value	Language
dc.contributor.author	Tesch, K	-
dc.contributor.author	Atherton, MA	-
dc.contributor.author	Collins, MW	-
dc.date.accessioned	2013-07-15T09:53:11Z	-
dc.date.available	2013-07-15T09:53:11Z	-
dc.date.issued	2002	-
dc.identifier.citation	Parmee, IC (Ed(s)), The Adaptive Computing in Design and Manufacture V (2.5): pp. 99 - 108, May 2002	en_US
dc.identifier.isbn	1852336056	-
dc.identifier.isbn	978-1852336059	-
dc.identifier.uri	http://www.springer.com/engineering/mechanical+engineering/book/978-1-85233-605-9	en
dc.identifier.uri	http://bura.brunel.ac.uk/handle/2438/7604	-
dc.description	Copyright @ 2002 Springer	en_US
dc.description.abstract	This paper presents an optimisation process for finding improved stent design using Genetic Algorithms. An optimisation criterion based on dissipated power is used which fits with the accepted principle that arterial flows follow a minimum energy loss. The GA shows good convergence and the solution found exhibits improved performance over proprietary designs used for comparison purposes.	en_US
dc.language.iso	en	en_US
dc.publisher	Springer	en_US
dc.title	Genetic algorithm search for stent design improvements	en_US
dc.type	Book Chapter	en_US
pubs.organisational-data	/Brunel	-
pubs.organisational-data	/Brunel/Brunel Active Staff	-
pubs.organisational-data	/Brunel/Brunel Active Staff/School of Engineering & Design	-
pubs.organisational-data	/Brunel/Brunel Active Staff/School of Engineering & Design/Mechanical Engineering	-
Appears in Collections:	Design Mechanical and Aerospace Engineering Dept of Mechanical and Aerospace Engineering Research Papers

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