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Model Generation Using Genetic Programming

Model Generation Using Genetic Programming
Model Generation Using Genetic Programming
In search and optimisation applications, model building is largely manual. However, relationships binding variables and making up constraints may be automatically generated if a complete enough body of data is available. At present, at the level of most businesses such a body is not only available but unexploited. In the following we shall rely on these data which ultimately can be used in the constraints description of the problem. The efficient implementation of this process is also addressed.
ISBN 3540760687
92-109
Salhi, A.
d16f4a4e-2678-4b7e-95e9-9113e25e20df
Glaser, H.
df88ca22-a72f-4fb6-9784-6578737d8af4
De Roure, D.
02879140-3508-4db9-a7f4-d114421375da
Jesshope, C. R.
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Shafarenko, A. V.
3ba11342-4a59-4d57-aba8-9c16d528890f
Salhi, A.
d16f4a4e-2678-4b7e-95e9-9113e25e20df
Glaser, H.
df88ca22-a72f-4fb6-9784-6578737d8af4
De Roure, D.
02879140-3508-4db9-a7f4-d114421375da
Jesshope, C. R.
33f96d8a-2e8c-4634-bc41-628c26114bc8
Shafarenko, A. V.
3ba11342-4a59-4d57-aba8-9c16d528890f

Salhi, A., Glaser, H. and De Roure, D. (1996) Model Generation Using Genetic Programming. Jesshope, C. R. and Shafarenko, A. V. (eds.) Proc. Conf. UK PARALLEL '96. pp. 92-109 .

Record type: Conference or Workshop Item (Other)

Abstract

In search and optimisation applications, model building is largely manual. However, relationships binding variables and making up constraints may be automatically generated if a complete enough body of data is available. At present, at the level of most businesses such a body is not only available but unexploited. In the following we shall rely on these data which ultimately can be used in the constraints description of the problem. The efficient implementation of this process is also addressed.

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More information

Published date: 1996
Additional Information: Address: Guildford, UK
Venue - Dates: Proc. Conf. UK PARALLEL '96, 1996-01-01
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 250622
URI: http://eprints.soton.ac.uk/id/eprint/250622
ISBN: ISBN 3540760687
PURE UUID: 14df77a8-7cd0-4210-8a7f-0e1957369900
ORCID for D. De Roure: ORCID iD orcid.org/0000-0001-9074-3016

Catalogue record

Date deposited: 06 Jun 2000
Last modified: 14 Mar 2024 04:53

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Contributors

Author: A. Salhi
Author: H. Glaser
Author: D. De Roure ORCID iD
Editor: C. R. Jesshope
Editor: A. V. Shafarenko

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