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Bayesian stopping rules for improvement of local minima algorithms in global optimization

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Publication:4764868
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DOI10.1080/02331939408843985zbMATH Open0820.65029OpenAlexW1995274736MaRDI QIDQ4764868

Author name not available (Why is that?)

Publication date: 17 September 1995

Published in: Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331939408843985



zbMATH Keywords

algorithmsglobal optimizationlocal minimaBayesian stopping rules


Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonlinear programming (90C30)



Related Items (2)

Bayesian stopping rules for multistart global optimization methods ⋮ The application of a unified Bayesian stopping criterion in competing parallel algorithms for global optimization






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