Detail publikace

SODOMA:Self-Organizing Migrating Algorithm in Dynamic Environment

SCHWARZ, J. HLAVINKA, M. ZELINKA, I. KOBLIHA, M.

Originální název

SODOMA:Self-Organizing Migrating Algorithm in Dynamic Environment

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

SCHWARZ, J.; HLAVINKA, M.; ZELINKA, I.; KOBLIHA, M.

Vydáno

31. 5. 2006

Nakladatel

Faculty of Mechanical Engineering BUT

Místo

Brno

ISBN

80-214-3195-4

Kniha

12th International Conference on Soft Computing

Strany od

163

Strany do

169

Strany počet

7

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"
}