Adaptive Intelligence Applied to Numerical Optimisation: Numerical Methods and Applications

Kalin Penev, Anton Ruzhekov

    Research output: Chapter in Book/Report/Published conference proceedingChapter

    Abstract

    The article presents modification strategies’ theoretical comparison and experimental results achieved by adaptive heuristics applied to numerical optimisation of several non-constraint test functions. The aims of the study are to identify and compare how adaptive search heuristics behave within heterogeneous search space without retuning of the search parameters. The achieved results are summarised and analysed, which could be used for comparison to other methods and further investigation.
    Original languageEnglish
    Title of host publication International Conference on Numerical Methods and Applications
    Subtitle of host publicationNumerical Methods and Applications
    EditorsIvan Dimov, Stefka Dimova, Natalia Kolkovska
    PublisherSpringer Berlin
    Pages280-288
    Number of pages8
    Volume6046
    Edition1
    ISBN (Electronic)978-3-642-18466-6
    ISBN (Print)978-3-642-18465-9
    DOIs
    Publication statusPublished - 2011

    Publication series

    Name Lecture Notes in Computer Science
    PublisherSpringer
    Volume6046
    ISSN (Print)0302-9743

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