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Hierarchical Bayesian Optimization Algorithm pp 49–87Cite as

Scalability Analysis

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 170))

Abstract

The empirical results of the last chapter were tantalizing. Easy and hard problems were automatically solved without user intervention in polynomial time. This raises an important question: How is BOA going to perform on other problems of bounded difficulty?

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  1. Dept. of Mathematics and Computer Science, University of Missouri, 63121, St. Louis, MO, USA

    Martin Pelikan

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  1. Martin Pelikan
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Pelikan, M. Scalability Analysis. In: Hierarchical Bayesian Optimization Algorithm. Studies in Fuzziness and Soft Computing, vol 170. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-32373-0_4

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  • DOI: https://doi.org/10.1007/978-3-540-32373-0_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23774-7

  • Online ISBN: 978-3-540-32373-0

  • eBook Packages: EngineeringEngineering (R0)

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