Accepting hybrid networks of evolutionary processors

  • Authors:
  • Maurice Margenstern;Victor Mitrana;Mario J. Pérez-Jiménez

  • Affiliations:
  • LITA, UFR MIM, University of Metz, Metz, France;Faculty of Mathematics and Computer Science, University of Bucharest, Bucharest, Romania;Department of Computer Science and Artificial Intelligence, University of Seville

  • Venue:
  • DNA'04 Proceedings of the 10th international conference on DNA computing
  • Year:
  • 2004

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Abstract

We consider time complexity classes defined on accepting hybrid networks of evolutionary processors (AHNEP) similarly to the classical time complexity classes defined on the standard computing model of Turing machine. By definition, AHNEPs are deterministic. We prove that the classical complexity class NP equals the set of languages accepted by AHNEPs in polynomial time.