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

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  • D J Stewardson

    (University of Newcastle)

  • R I Whitfield

    (University of Strathclyde)

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.

Suggested Citation

  • D J Stewardson & R I Whitfield, 2004. "A demonstration of the utility of fractional experimental design for finding optimal genetic algorithm parameter settings," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(2), pages 132-138, February.
    • Handle: RePEc:pal:jorsoc:v:55:y:2004:i:2:d:10.1057_palgrave.jors.2601703
    DOI: 10.1057/palgrave.jors.2601703
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    References listed on IDEAS

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    1. Dave Stewardson & David Porter & Tony Kelly, 2001. "The dangers posed by saddle points, and other problems, when using central composite designs," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(3-4), pages 485-495.
    2. Joseph Adams & Egon Balas & Daniel Zawack, 1988. "The Shifting Bottleneck Procedure for Job Shop Scheduling," Management Science, INFORMS, vol. 34(3), pages 391-401, March.
    3. Pongcharoen, P. & Hicks, C. & Braiden, P. M., 2004. "The development of genetic algorithms for the finite capacity scheduling of complex products, with multiple levels of product structure," European Journal of Operational Research, Elsevier, vol. 152(1), pages 215-225, January.
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    Cited by:

    1. Javier Carpintero & Jennifer Villa-Dominguez & María José Tavera-Quiroz & Humberto Carlos Tavera-Quiroz & Bartosz Kaźmierczak & Jonathan Fábregas-Villegas & Fausto A. Canales, 2022. "Application of a 2 k–p Fractional Experimental Design in Coagulation-Flocculation Processes in the Treatment of Wastewater from a Slaughterhouse," Sustainability, MDPI, vol. 14(16), pages 1-14, August.

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