Comparative analysis of various evolutionary and memetic algorithms

Krisztián Balázs, János Botzheim, László T. Kóczy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Optimization methods known from the literature include gradient techniques and evolutionary algorithms. The main idea of gradient methods is to calculate the gradient of the objective function at the actual point and then to step towards better values according to this value. Evolutionary algorithms imitate a simplified abstract model of evolution observed in nature. Memetic algorithms traditionally combine evolutionary and gradient techniques to exploit the advantages of both methods. Our current research aims to discover the properties, especially the efficiency (i.e. the speed of convergence) of particular evolutionary and memetic algorithms. For this purpose the techniques are compared by applying them on several numerical optimization benchmark functions and on fuzzy rule base identification.

Original languageEnglish
Title of host publication10th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2009
Pages193-205
Number of pages13
Publication statusPublished - 2009
Event10th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2009 - Budapest, Hungary
Duration: Nov 12 2009Nov 14 2009

Other

Other10th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2009
CountryHungary
CityBudapest
Period11/12/0911/14/09

Fingerprint

Evolutionary algorithms
Gradient methods
Fuzzy rules

Keywords

  • Evolutionary algorithms
  • Fuzzy rule based learning
  • Memetic algorithms

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

Cite this

Balázs, K., Botzheim, J., & Kóczy, L. T. (2009). Comparative analysis of various evolutionary and memetic algorithms. In 10th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2009 (pp. 193-205)

Comparative analysis of various evolutionary and memetic algorithms. / Balázs, Krisztián; Botzheim, János; Kóczy, László T.

10th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2009. 2009. p. 193-205.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Balázs, K, Botzheim, J & Kóczy, LT 2009, Comparative analysis of various evolutionary and memetic algorithms. in 10th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2009. pp. 193-205, 10th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2009, Budapest, Hungary, 11/12/09.
Balázs K, Botzheim J, Kóczy LT. Comparative analysis of various evolutionary and memetic algorithms. In 10th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2009. 2009. p. 193-205
Balázs, Krisztián ; Botzheim, János ; Kóczy, László T. / Comparative analysis of various evolutionary and memetic algorithms. 10th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2009. 2009. pp. 193-205
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