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. In, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-99), Orlando, USA, 13 - 17 Jul 1999. , 196-203.

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Description/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.

Item Type: Conference or Workshop Item (Paper)
Related URLs:
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: University Structure - Pre August 2011 > School of Engineering Sciences
ePrint ID: 23624
Date Deposited: 15 Feb 2007
Last Modified: 27 Mar 2014 18:12
URI: http://eprints.soton.ac.uk/id/eprint/23624

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