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The place of evolutionary search tools in problem solving environments for aerospace design

The place of evolutionary search tools in problem solving environments for aerospace design
The place of evolutionary search tools in problem solving environments for aerospace design
This paper sets out to show that evolutionary search tools have an important role to play in the development of Problem Solving Environments (PSE's) for aerospace design. Distributed and versatile PSE's are now being prototyped in a number of research and industrial groups around the world and can be expected to take a central place in the toolkit of future aerospace designers. The role played in these systems by evolutionary methods includes improvements of the design process as well as the search for better products via goal oriented optimization. These and related aspects of aerospace design are illustrated here with examples from the fields of satellite, airframe and aeroengine design.
design, evolution, optimization, problem solving, aerospace, distributed.
8489925976
3-10
International Center for Numerical Methods in Engineering
Keane, A.J.
26d7fa33-5415-4910-89d8-fb3620413def
Giannakoglou, K.C.
Tsahalis, D.T.
Periaux, J.
Fogarty, T.
Keane, A.J.
26d7fa33-5415-4910-89d8-fb3620413def
Giannakoglou, K.C.
Tsahalis, D.T.
Periaux, J.
Fogarty, T.

Keane, A.J. (2002) The place of evolutionary search tools in problem solving environments for aerospace design. Giannakoglou, K.C., Tsahalis, D.T., Periaux, J. and Fogarty, T. (eds.) In Evolutionary Methods for Design, Optimization and Control. International Center for Numerical Methods in Engineering. pp. 3-10 .

Record type: Conference or Workshop Item (Paper)

Abstract

This paper sets out to show that evolutionary search tools have an important role to play in the development of Problem Solving Environments (PSE's) for aerospace design. Distributed and versatile PSE's are now being prototyped in a number of research and industrial groups around the world and can be expected to take a central place in the toolkit of future aerospace designers. The role played in these systems by evolutionary methods includes improvements of the design process as well as the search for better products via goal oriented optimization. These and related aspects of aerospace design are illustrated here with examples from the fields of satellite, airframe and aeroengine design.

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kean_02.pdf - Accepted Manuscript
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More information

Published date: 2002
Venue - Dates: EUROGEN 2001-Evolutionary Methods for Design, Optimization and Control with Applications to Industrial Problems, Athens, Greece, 2001-09-01 - 2001-09-01
Keywords: design, evolution, optimization, problem solving, aerospace, distributed.

Identifiers

Local EPrints ID: 22067
URI: http://eprints.soton.ac.uk/id/eprint/22067
ISBN: 8489925976
PURE UUID: ba298aff-5dc6-46fa-8572-41cadf61b544
ORCID for A.J. Keane: ORCID iD orcid.org/0000-0001-7993-1569

Catalogue record

Date deposited: 16 Mar 2007
Last modified: 16 Mar 2024 02:53

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Contributors

Author: A.J. Keane ORCID iD
Editor: K.C. Giannakoglou
Editor: D.T. Tsahalis
Editor: J. Periaux
Editor: T. Fogarty

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