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Metalmodeling techniques for evolutionary optimization of computationally expensive problems: promises and limitations

El-Beltagy, M.A. and Keane, A.J. (1999) Metalmodeling techniques for evolutionary optimization of computationally expensive problems: promises and limitations At Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-99). 13 - 17 Jul 1999. , pp. 196-203.

Record type: Conference or Workshop Item (Paper)

Abstract

It is often the case in many problems in science and engineering that the analysis codes used are computationally very expensive. This can pose a serious impediment to the successful application of evolutionary optimization techniques. Metamodeling techniques present an enabling methodology for reducing the computational cost of such optimization problems. We present here a general framework for coupling metamodeling techniques with evolutionary algorithms to reduce the computational burden of solving this class of optimization problems. This framework aims to balance the concerns of optimization with that of design of ecperiments. Experiments on test problems and a practical engineering design problem serve to illustrate our arguments. The practical limitations of this approach are also outlined.

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More information

Published date: 1999
Venue - Dates: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-99), 1999-07-13 - 1999-07-17

Identifiers

Local EPrints ID: 23624
URI: http://eprints.soton.ac.uk/id/eprint/23624
PURE UUID: 7d54a708-75af-40ea-a51e-f30a93453c1a

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Date deposited: 15 Feb 2007
Last modified: 17 Jul 2017 16:16

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Contributors

Author: M.A. El-Beltagy
Author: A.J. Keane

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