Evolutionary Methods in Self-organizing System Design

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Evolutionary Methods in Self-organizing System Design
Self-organizing systems could serve as a solution for many technical problems where properties like robustness, scalability, and adaptability are required. However, despite all these advantages and due to the decentralized control there is no straight-forward way to design such a system. In this paper we describe a novel design approach using genetic algorithms and artificial neural networks to automatize the part of the design process that requires most of the time. A simulated robot soccer game was implemented to test and evaluate the proposed method. A new approach in evolving competitive behavior is also introduced using Swiss System instead of the full tournament to cut down the number of necessary simulations.
Istvan Fehervari, Wilfried Elmenreich
Added 17 Feb 2011
Updated 17 Feb 2011
Type Journal
Year 2009
Where GEM
Authors Istvan Fehervari, Wilfried Elmenreich
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