Publication Details

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

KOBLIHA Miloš and SCHWARZ Josef. Self-Organizing Migrating Algorithm for Dynamic Problems: An Experimental study. In: 13th International Conference on Soft Computing. Brno: Faculty of Mechanical Engineering BUT, 2007, pp. 24-29. ISBN 978-80-214-3473-8.
Czech title
Self-Organizing Migrating Algorithm for Dynamic Problems: An EXperimental study
Type
conference paper
Language
english
Authors
Kobliha Miloš, Ing. (DCSY FIT BUT)
Schwarz Josef, doc. Ing., CSc. (DCSY FIT BUT)
Keywords

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

Abstract

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.

Published
2007
Pages
24-29
Proceedings
13th International Conference on Soft Computing
Conference
13th International Mendel Conference on Soft Computing, ČVUT Praha, CZ
ISBN
978-80-214-3473-8
Publisher
Faculty of Mechanical Engineering BUT
Place
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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