Controlling Complex Dynamics with Artificial Biochemical Networks

Research output: Contribution to conferencePaper

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Department/unit(s)

Conference

ConferenceEuropean Conference on Genetic Programming, EuroGP 2010
CountryTurkey
CityIstanbuk
Conference date(s)1/04/10 → …

Publication details

DatePublished - 2010
Original languageEnglish

Abstract

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.

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