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Using self organizing maps and genetic algorithms for model selection in multilevel optimization

Using self organizing maps and genetic algorithms for model selection in multilevel optimization
Using self organizing maps and genetic algorithms for model selection in multilevel optimization
In Multilevel Optimization there is usually a choice to be made between different models when carrying out design evaluations. The choice is between accurate / computationally expensive evaluations and approximate/ computational cheap ones. Here, a strategy is sought for selecting between different models during the search. The focus of the paper is on preliminary work carried out using a self organizing map (SOM) for model selection
9783540660767
1611
137-144
Springer
El-Beltagy, M.
97cae944-f224-4a07-91e1-c27e94b749bd
Keane, A.J.
26d7fa33-5415-4910-89d8-fb3620413def
El-Beltagy, M.
97cae944-f224-4a07-91e1-c27e94b749bd
Keane, A.J.
26d7fa33-5415-4910-89d8-fb3620413def

El-Beltagy, M. and Keane, A.J. (1999) Using self organizing maps and genetic algorithms for model selection in multilevel optimization. In Multiple Approaches to Intelligent Systems: Proceedings of the 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems. Springer. pp. 137-144 . (doi:10.1007/b72302).

Record type: Conference or Workshop Item (Paper)

Abstract

In Multilevel Optimization there is usually a choice to be made between different models when carrying out design evaluations. The choice is between accurate / computationally expensive evaluations and approximate/ computational cheap ones. Here, a strategy is sought for selecting between different models during the search. The focus of the paper is on preliminary work carried out using a self organizing map (SOM) for model selection

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More information

Published date: 1999
Additional Information: Series ISSN 0302-9743
Venue - Dates: 12th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE-99), 1999-05-31 - 1999-06-03

Identifiers

Local EPrints ID: 23623
URI: http://eprints.soton.ac.uk/id/eprint/23623
ISBN: 9783540660767
PURE UUID: ada1fabe-a03c-4a23-85cb-28d0c6cb5a19

Catalogue record

Date deposited: 15 Feb 2007
Last modified: 15 Jul 2019 19:19

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