Detail publikace

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

KOBLIHA Miloš a SCHWARZ Josef. Self-Organizing Migrating Algorithm for Dynamic Problems: An Experimental study. In: 13th International Conference on Soft Computing. Brno: Fakulta strojního inženýrství VUT, 2007, s. 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
angličtina
Autoři
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
Konference
13th International Mendel Conference on Soft Computing, ČVUT Praha, CZ
ISBN
978-80-214-3473-8
Vydavatel
Fakulta strojního inženýrství VUT
Místo
Brno, CZ
BibTeX
@INPROCEEDINGS{FITPUB8392,
   author = "Milo\v{s} Kobliha and Josef Schwarz",
   title = "Self-Organizing Migrating Algorithm for Dynamic Problems: An Experimental study",
   pages = "24--29",
   booktitle = "13th International Conference on Soft Computing",
   year = 2007,
   location = "Brno, CZ",
   publisher = "Faculty of Mechanical Engineering BUT",
   ISBN = "978-80-214-3473-8",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/8392"
}
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