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Stopping and restarting strategy for stochastic sequential search in global optimization

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  • Zelda Zabinsky
  • David Bulger
  • Charoenchai Khompatraporn

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  • Zelda Zabinsky & David Bulger & Charoenchai Khompatraporn, 2010. "Stopping and restarting strategy for stochastic sequential search in global optimization," Journal of Global Optimization, Springer, vol. 46(2), pages 273-286, February.
    • Handle: RePEc:spr:jglopt:v:46:y:2010:i:2:p:273-286
    DOI: 10.1007/s10898-009-9425-z
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    References listed on IDEAS

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    1. Bruce Hajek, 1988. "Cooling Schedules for Optimal Annealing," Mathematics of Operations Research, INFORMS, vol. 13(2), pages 311-329, May.
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    Cited by:

    1. Morteza Ahandani & Mohammad-Taghi Vakil-Baghmisheh & Mohammad Talebi, 2014. "Hybridizing local search algorithms for global optimization," Computational Optimization and Applications, Springer, vol. 59(3), pages 725-748, December.
    2. Giulia Pedrielli & K. Selcuk Candan & Xilun Chen & Logan Mathesen & Alireza Inanalouganji & Jie Xu & Chun-Hung Chen & Loo Hay Lee, 2019. "Generalized Ordinal Learning Framework (GOLF) for Decision Making with Future Simulated Data," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 36(06), pages 1-35, December.
    3. Liu, Yipeng & Koehler, Gary J., 2010. "Using modifications to Grover's Search algorithm for quantum global optimization," European Journal of Operational Research, Elsevier, vol. 207(2), pages 620-632, December.
    4. Qun Meng & Songhao Wang & Szu Hui Ng, 2022. "Combined Global and Local Search for Optimization with Gaussian Process Models," INFORMS Journal on Computing, INFORMS, vol. 34(1), pages 622-637, January.
    5. Logan Mathesen & Giulia Pedrielli & Szu Hui Ng & Zelda B. Zabinsky, 2021. "Stochastic optimization with adaptive restart: a framework for integrated local and global learning," Journal of Global Optimization, Springer, vol. 79(1), pages 87-110, January.
    6. Zelda B. Zabinsky & David D. Linz, 2023. "Hesitant adaptive search with estimation and quantile adaptive search for global optimization with noise," Journal of Global Optimization, Springer, vol. 87(1), pages 31-55, September.

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