Hybrid networks of evolutionary processors

  • Authors:

  • Carlos Martín-Vide;Victor Mitrana;Mario J. Pérez-Jiménez;Fernando Sancho-Caparrini

  • Affiliations:

  • Rovira i Virgili University, Tarragona, Spain;University of Bucharest, Faculty of Mathematics and Computer Science, Bucharest, Romania;University of Seville, Department of Computer Science and Artificial Intelligence;University of Seville, Department of Computer Science and Artificial Intelligence

  • Venue:
  • GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
  • Year:
  • 2003

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Abstract

A hybrid network of evolutionary processors consists of several processors which are placed in nodes of a virtual graph and can perform one simple operation only on the words existing in that node in accordance with some strategies. Then the words which can pass the output filter of each node navigate simultaneously through the network and enter those nodes whose input filter was passed. We prove that these networks with filters defined by simple random-context conditions, used as language generating devices, are able to generate all linear languages in a very efficient way, as well as non-context-free languages. Then, when using them as computing devices, we present two linear solutions of the Common Algorithmic Problem.