Towards automated selection of estimation of distribution algorithms

  • Authors:
  • Fernando G. Lobo;Cláudio F. Lima

  • Affiliations:
  • University of Algarve, Faro, Portugal;University of Nottingham, Nottingham, United Kingdom

  • Venue:
  • Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
  • Year:
  • 2010

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Abstract

This paper discusses automated selection of estimation of distribution algorithms for problem solving. A specific method inspired in the parameter-less GA is proposed. Other alternatives are also briefly mentioned as promising research directions to address the problem.