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
137-144
El-Beltagy, M.
97cae944-f224-4a07-91e1-c27e94b749bd
Keane, A.J.
26d7fa33-5415-4910-89d8-fb3620413def
1999
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.
.
(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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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), Cairo, Egypt, 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
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Date deposited: 15 Feb 2007
Last modified: 16 Mar 2024 02:53
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Author:
M. El-Beltagy
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