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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  • Cite this

    Penev, K., & Ruzhekov, A. (2011). Adaptive Intelligence Applied to Numerical Optimisation: Numerical Methods and Applications. In I. Dimov, S. Dimova, & N. Kolkovska (Eds.), International Conference on Numerical Methods and Applications: Numerical Methods and Applications (1 ed., Vol. 6046, pp. 280-288). ( Lecture Notes in Computer Science; Vol. 6046). Springer Berlin. https://doi.org/10.1007/978-3-642-18466-6_33