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A demonstration of the utility of fractional experimental design for finding optimal genetic algorithm parameter settings

Lookup NU author(s): David Stewardson, Dr Robert Whitfield

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Abstract

This paper demonstrates that the use of sparse experimental design in the development of the structure for genetic algorithms, and hence other computer programs, is a particularly effective and efficient strategy. Despite widespread knowledge of the existence of these systematic experimental plans, they have seen limited application in the investigation of advanced computer programs. This paper attempts to address this missed opportunity and encourage others to take advantage of the power of these plans. Using data generated from a full factorial experimental design, involving 27 experimental runs that was used to assess the optimum operating settings of the parameters of a special genetic algorithm (GA), we show that similar results could have been obtained using as few as nine runs. The GA was used to find minimum cost schedules for a complex component assembly operation with many sub-processes.

Publication metadata

Author(s): Stewardson DJ, Whitfield RI

Publication type: Article

Publication status: Published

Journal: Journal of the Operational Research Society

Year: 2004

Volume: 55

Issue: 2

Pages: 132-138

ISSN (print): 0160-5682

ISSN (electronic): 1476-9360

Publisher: Palgrave Macmillan

URL: http://dx.doi.org/10.1057/palgrave.jors.2601703

DOI: 10.1057/palgrave.jors.2601703

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