Publication Details

SODOMA:Self-Organizing Migrating Algorithm in Dynamic Environment

SCHWARZ, J.; HLAVINKA, M.; ZELINKA, I.; KOBLIHA, M. SODOMA:Self-Organizing Migrating Algorithm in Dynamic Environment. 12th International Conference on Soft Computing. Brno: Faculty of Mechanical Engineering BUT, 2006. p. 163-169. ISBN: 80-214-3195-4.

Czech title

SODOMA: Samo se organizující migrační algoritmus v dynamickém prostředí

Type

conference paper

Language

English

Authors

Schwarz Josef, doc. Ing., CSc. (CM-SFE)
Hlavinka Michal, Ing.
ZELINKA, I.
Kobliha Miloš, Ing.

Keywords

Numerical optimization, dynamic optimization, SOMA, limited lifetime, population diversity

Abstract

This paper is an experimental study investigating the capability of Self-Organizing Migrating Algorithm (SOMA) to solve dynamic problems. We have proposed an extension of SOMA algorithm based on the phenomenon of the limited lifetime of population individuals to keep the population diversity during the environmental change. We tested the performance of the algorithm on three representative dynamic benchmarks including moving peak, the 3rd de Jong function and two-extremes time-varying function. The experimental results confirmed the capability of the proposed dynamic SODOMA algorithms to effectively adapt the search process towards the nonstationary global optimum.

Published

2006

Pages

163–169

Proceedings

12th International Conference on Soft Computing

Conference

12th International Mendel Conference on Soft Computing, Brno, CZ

ISBN

80-214-3195-4

Publisher

Faculty of Mechanical Engineering BUT

Place

Brno

BibTeX

@inproceedings{BUT193908,
  author="SCHWARZ, J. and HLAVINKA, M. and ZELINKA, I. and KOBLIHA, M.",
  title="SODOMA:Self-Organizing Migrating Algorithm in Dynamic Environment",
  booktitle="12th International Conference on Soft Computing",
  year="2006",
  pages="163--169",
  publisher="Faculty of Mechanical Engineering BUT",
  address="Brno",
  isbn="80-214-3195-4"
}