Detail publikace

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

KOBLIHA, M. SCHWARZ, J.

Originální název

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

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální 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.

Klíčová slova

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

Autoři

KOBLIHA, M.; SCHWARZ, J.

Rok RIV

2007

Vydáno

5. 9. 2007

Nakladatel

Faculty of Mechanical Engineering BUT

Místo

Brno

ISBN

978-80-214-3473-8

Kniha

13th International Conference on Soft Computing

Strany od

24

Strany do

29

Strany počet

6

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"
}