Conference paper

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.
Publication language:english
Original title:Self-Organizing Migrating Algorithm for Dynamic Problems: An Experimental study
Title (cs):Self-Organizing Migrating Algorithm for Dynamic Problems: An EXperimental study
Pages:24-29
Proceedings:13th International Conference on Soft Computing
Conference:13th International Mendel Conference on Soft Computing
Place:Brno, CZ
Year:2007
ISBN:978-80-214-3473-8
Publisher:Faculty of Mechanical Engineering BUT
Keywords
SOMA algorithm, dynamic environment, limited lifetime, multi-population, AllToElite strategy.
Annotation
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.
BibTeX:
@INPROCEEDINGS{
   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 = {http://www.fit.vutbr.cz/research/view_pub.php?id=8392}
}

Your IPv4 address: 54.158.183.188
Switch to IPv6 connection

DNSSEC [dnssec]