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On the Effectiveness of Evolution Compared to Time-Consuming Full Search of Optimal 6-State Automata

  • Marcus Komann
  • Patrick Ediger
  • Dietmar Fey
  • Rolf Hoffmann
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5481)

Abstract

The Creature’s Exploration Problem is defined for an independent agent on regular grids. This agent shall visit all non-blocked cells in the grid autonomously in shortest time. Such a creature is defined by a specific finite state machine. Literature shows that the optimal 6-state automaton has already been found by simulating all possible automata. This paper tries to answer the question if it is possible to find good or optimal automata by using evolution instead of time-consuming full simulation. We show that it is possible to achieve 80% to 90% of the quality of the best automata with evolution in much shorter time.

Keywords

State Machine Genetic Programming Regular Grid Problem Space Travelling Salesperson Problem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Marcus Komann
    • 1
  • Patrick Ediger
    • 2
  • Dietmar Fey
    • 1
  • Rolf Hoffmann
    • 2
  1. 1.Chair for Computer ArchitectureFriedrich-Schiller-University Jena,GermanyJenaGermany
  2. 2.FB Informatik, FG RechnerarchitekturTechnische Universität Darmstadt, GermanyDarmstadtGermany

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