Neutral Fitness Landscape in the Cellular Automata Majority Problem

  • S. Verel
  • P. Collard
  • M. Tomassini
  • L. Vanneschi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4173)

Abstract

We study in detail the fitness landscape of a difficult cellular automata computational task: the majority problem. Our results show why this problem landscape is so hard to search, and we quantify the large degree of neutrality found in various ways. We show that a particular subspace of the solution space, called the ”Olympus”, is where good solutions concentrate, and give measures to quantitatively characterize this subspace.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • S. Verel
    • 1
  • P. Collard
    • 1
  • M. Tomassini
    • 2
  • L. Vanneschi
    • 3
  1. 1.Université de Nice-Sophia Antipolis/CNRS 
  2. 2.University of Lausanne 
  3. 3.University of Milano 

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