Controlling Complex Dynamics with Artificial Biochemical Networks

Research output: Contribution to conferencePaperpeer-review


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.
Original languageEnglish
Publication statusPublished - 2010
EventEuropean Conference on Genetic Programming, EuroGP 2010 - Istanbuk, Turkey
Duration: 1 Apr 2010 → …


ConferenceEuropean Conference on Genetic Programming, EuroGP 2010
Period1/04/10 → …

Cite this