Controlling Complex Dynamics with Artificial Biochemical Networks

Lones M. A., Tyrrell A. M., Stepney S., Caves L. S.

13th European Conference on Genetic Programming, İstanbul, Türkiye, 7 - 09 Nisan 2010, cilt.6021, ss.159-160 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 6021
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.159-160
  • İstanbul Teknik Üniversitesi Adresli: Hayır

Özet

Artificial biochemical networks (ABNs) are computational models inspired by the biochemical networks which underlie the cellular activities of biological organisms. This paper shows how evolved ABNs may be used to control chaotic dynamics in both discrete and continuous dynamical systems, illustrating that ABNs can be used to represent complex computational behaviours within evolutionary algorithms. Our results also show that performance is sensitive to model choice, and suggest that conservation laws play an important role in guiding search.