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New stopping criterion for genetic algorithms

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  • Aytug, Haldun
  • Koehler, Gary J.

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  • Aytug, Haldun & Koehler, Gary J., 2000. "New stopping criterion for genetic algorithms," European Journal of Operational Research, Elsevier, vol. 126(3), pages 662-674, November.
    • Handle: RePEc:eee:ejores:v:126:y:2000:i:3:p:662-674
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    References listed on IDEAS

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    1. Haldun Aytug & Gary J. Koehler, 1996. "Stopping Criteria for Finite Length Genetic Algorithms," INFORMS Journal on Computing, INFORMS, vol. 8(2), pages 183-191, May.
    2. Gary Koehler, 1997. "New directions in genetic algorithm theory," Annals of Operations Research, Springer, vol. 75(0), pages 49-68, January.
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    Cited by:

    1. Aytug, Haldun & Koehler, Gary J., 2007. "The effect of multiple optima on the simple GA run-time complexity," European Journal of Operational Research, Elsevier, vol. 178(1), pages 27-45, April.
    2. Pendharkar, Parag C. & Koehler, Gary J., 2007. "A general steady state distribution based stopping criteria for finite length genetic algorithms," European Journal of Operational Research, Elsevier, vol. 176(3), pages 1436-1451, February.
    3. Jackie Rees & Gary J. Koehler, 2002. "An Evolutionary Approach to Group Decision Making," INFORMS Journal on Computing, INFORMS, vol. 14(3), pages 278-292, August.
    4. Carl Chiarella & Thuy-Duong Tô, 2006. "The Multifactor Nature of the Volatility of Futures Markets," Computational Economics, Springer;Society for Computational Economics, vol. 27(2), pages 163-183, May.
    5. Debora Gil & David Roche & Agnés Borràs & Jesús Giraldo, 2015. "Terminating evolutionary algorithms at their steady state," Computational Optimization and Applications, Springer, vol. 61(2), pages 489-515, June.

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