A demonstration of the utility of fractional experimental design for finding optimal genetic algorithm parameter settings
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DOI: 10.1057/palgrave.jors.2601703
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- 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.
- 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.
- 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.
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Keywords
genetic algorithms; scheduling; sequential experimentation; regression; optimization;All these keywords.
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