International Conference on Parallel Problem Solving from Nature

PPSN 2008: Parallel Problem Solving from Nature – PPSN X pp 620-630

Parameter Control Methods for Selection Operators in Genetic Algorithms

  • Péter Vajda
  • Agoston E. Eiben
  • Wim Hordijk
Conference paper

DOI: 10.1007/978-3-540-87700-4_62

Volume 5199 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Vajda P., Eiben A.E., Hordijk W. (2008) Parameter Control Methods for Selection Operators in Genetic Algorithms. In: Rudolph G., Jansen T., Beume N., Lucas S., Poloni C. (eds) Parallel Problem Solving from Nature – PPSN X. PPSN 2008. Lecture Notes in Computer Science, vol 5199. Springer, Berlin, Heidelberg

Abstract

Parameter control is still one of the main challenges in evolutionary computation. This paper is concerned with controlling selection operators on-the-fly. We perform an experimental comparison of such methods on three groups of test functions and conclude that varying selection pressure during a GA run often yields performance benefits, and therefore is a recommended option for designers and users of evolutionary algorithms.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Péter Vajda
    • 1
  • Agoston E. Eiben
    • 1
  • Wim Hordijk
    • 1
  1. 1.Vrije Universiteit AmsterdamNetherlands