The Influence of Learning in the Evolution of Busy Beavers

  • Francisco B. Pereira
  • Ernesto Costa
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2037)


The goal of this research is to study how individual learning interacts with an evolutionary algorithm in its search for good candidates for the Busy Beaver problem. Two learning models, designed to act as local search procedures, are proposed. Experimental results show that local search methods that are able to perform several modifications in the structure of an individual in each learning step provide an important advantage. Some insight about the role that evolution and learning play during search is also presented.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Francisco B. Pereira
    • 1
    • 2
  • Ernesto Costa
    • 2
  1. 1.Instituto Superior de Engenharia de CoimbraCoimbraPortugal
  2. 2.Centro de Informática e Sistemas da Universidade de CoimbraCoimbraPortugal

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