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Stopping rules in k-adaptive global random search algorithms

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  • Anatoly Zhigljavsky
  • Emily Hamilton

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  • Anatoly Zhigljavsky & Emily Hamilton, 2010. "Stopping rules in k-adaptive global random search algorithms," Journal of Global Optimization, Springer, vol. 48(1), pages 87-97, September.
    • Handle: RePEc:spr:jglopt:v:48:y:2010:i:1:p:87-97
    DOI: 10.1007/s10898-010-9528-6
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    References listed on IDEAS

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    1. Anatoly Zhigljavsky & Antanas Žilinskas, 2008. "Stochastic Global Optimization," Springer Optimization and Its Applications, Springer, number 978-0-387-74740-8, June.
    2. Emily Hamilton & Vippal Savani & Anatoly Zhigljavsky, 2007. "Estimating the Minimal Value of a Function in Global Random Search: Comparison of Estimation Procedures," Springer Optimization and Its Applications, in: Aimo Törn & Julius Žilinskas (ed.), Models and Algorithms for Global Optimization, pages 193-214, Springer.
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    Cited by:

    1. Andrey Pepelyshev & Anatoly Zhigljavsky & Antanas Žilinskas, 2018. "Performance of global random search algorithms for large dimensions," Journal of Global Optimization, Springer, vol. 71(1), pages 57-71, May.

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