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A general steady state distribution based stopping criteria for finite length genetic algorithms

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  • Pendharkar, Parag C.
  • Koehler, Gary J.

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  • 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.
    • Handle: RePEc:eee:ejores:v:176:y:2007:i:3:p:1436-1451
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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. Pendharkar, Parag C., 2021. "Allocating fixed costs using multi-coalition epsilon equilibrium," International Journal of Production Economics, Elsevier, vol. 239(C).
    2. Chin-Hung Liu, 2010. "A group decision-making method with fuzzy set theory and genetic algorithms in quality function deployment," Quality & Quantity: International Journal of Methodology, Springer, vol. 44(6), pages 1175-1189, October.
    3. Pendharkar, Parag C., 2008. "Maximum entropy and least square error minimizing procedures for estimating missing conditional probabilities in Bayesian networks," Computational Statistics & Data Analysis, Elsevier, vol. 52(7), pages 3583-3602, March.

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