Topographical mapping assisted evolutionary search for multilevel optimization
Topographical mapping assisted evolutionary search for multilevel optimization
In many problems in science and engineering, it is often the case that there exist a number of computational models to simulate the problem at hand. These models are usually trade-offs between accuracy and computational expense. Given a limited computation budget, there is need to develop a framework for selecting between different models in a sensible fashion during the search. The method proposed here is based on the construction of a heteroassociative mapping to estimate the differences between models, and using this information to guide the search. The proposed framework is tested on the problem of minimizing the transmitted vibration energy in a satellite boom
0780355369
665
El-Beltagy, M.A.
35c62da1-b637-4ad7-bfb1-4be877561dc0
Keane, A.J.
26d7fa33-5415-4910-89d8-fb3620413def
1999
El-Beltagy, M.A.
35c62da1-b637-4ad7-bfb1-4be877561dc0
Keane, A.J.
26d7fa33-5415-4910-89d8-fb3620413def
El-Beltagy, M.A. and Keane, A.J.
(1999)
Topographical mapping assisted evolutionary search for multilevel optimization.
In Proceedings of the 1999 Conference on Evolutionary Computation.
IEEE.
.
(doi:10.1109/CEC.1999.781996).
Record type:
Conference or Workshop Item
(Paper)
Abstract
In many problems in science and engineering, it is often the case that there exist a number of computational models to simulate the problem at hand. These models are usually trade-offs between accuracy and computational expense. Given a limited computation budget, there is need to develop a framework for selecting between different models in a sensible fashion during the search. The method proposed here is based on the construction of a heteroassociative mapping to estimate the differences between models, and using this information to guide the search. The proposed framework is tested on the problem of minimizing the transmitted vibration energy in a satellite boom
Text
elbe_99a.pdf
- Accepted Manuscript
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Published date: 1999
Venue - Dates:
1999 Conference on Evolutionary Computation (CEC 1999), Washington DC, USA, 1999-07-06 - 1999-07-09
Identifiers
Local EPrints ID: 23627
URI: http://eprints.soton.ac.uk/id/eprint/23627
ISBN: 0780355369
PURE UUID: 96ea0699-141a-4030-bcb3-726c8a69a386
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Date deposited: 15 Feb 2007
Last modified: 16 Mar 2024 02:53
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Author:
M.A. El-Beltagy
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