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Nash Extremal Optimization and Large Cournot Games

  • Rodica Ioana Lung
  • Tudor Dan Mihoc
  • D. Dumitrescu
Part of the Studies in Computational Intelligence book series (SCI, volume 387)

Abstract

Equilibria detection in large games represents an important challenge in computational game theory. A solution based on generative relations defined on the strategy set and the standard Extremal Optimization algorithm is proposed. The Cournot oligopoly model involving up to 1000 players is used to test the proposed methods. Results are compared with those obtained by a Crowding Differential Evolution algorithm.

Keywords

Nash Equilibrium Differential Evolution Differential Evolution Algorithm Noncooperative Game Multimodal Optimization 
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 2011

Authors and Affiliations

  • Rodica Ioana Lung
    • 1
  • Tudor Dan Mihoc
    • 1
  • D. Dumitrescu
    • 1
  1. 1.Babes-Bolyai UniversityRomania

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