Detail publikace

Self-Organizing Migrating Algorithm for Dynamic Problems: An Experimental study

KOBLIHA, M.; SCHWARZ, J. Self-Organizing Migrating Algorithm for Dynamic Problems: An Experimental study. In 13th International Conference on Soft Computing. Brno: Faculty of Mechanical Engineering BUT, 2007. p. 24-29. ISBN: 978-80-214-3473-8.
Název česky
Self-Organizing Migrating Algorithm for Dynamic Problems: An EXperimental study
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Kobliha Miloš, Ing.
Schwarz Josef, doc. Ing., CSc. (CK-SZZ)
Klíčová slova

SOMA algorithm, dynamic environment, limited lifetime, multi-population, AllToElite strategy.

Abstrakt

This paper is an experimental study investigating the capability of well known Self-Organizing Migrating Algorithm (SOMA) to solve dynamic problems. We have proposed a new extension of SOMA algorithm with two new approaches based on multi-population and elite concept. We tested the performance of the algorithm on the artificial benchmark with moving peaks. The experimental results confirmed the capability of the proposed dynamic xSODOMA algorithm to effectively adapt the search process towards the nonstationary global optimum.

Rok
2007
Strany
24–29
Sborník
13th International Conference on Soft Computing
ISBN
978-80-214-3473-8
Vydavatel
Faculty of Mechanical Engineering BUT
Místo
Brno
BibTeX 
@inproceedings{BUT28815,
  author="Miloš {Kobliha} and Josef {Schwarz}",
  title="Self-Organizing Migrating Algorithm for Dynamic Problems: An Experimental study",
  booktitle="13th International Conference on Soft Computing",
  year="2007",
  pages="24--29",
  publisher="Faculty of Mechanical Engineering BUT",
  address="Brno",
  isbn="978-80-214-3473-8"
}
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