Evolving boolean networks on tunable fitness landscapes

Bull, Larry

Abstract

This paper presents an abstract, tunable model by which to explore aspects of artificial genetic regulatory networks and their design by simulated evolution. The random Boolean network formalism is combined with the NK and $NKCS$ models of fitness landscapes. This enables the systematic study of the interactions between the underlying genetic machinery and elements of the phenotype produced. Previously reported results from the models individually are explored within this context, using both synchronous and asynchronous updating. The evolution of network size is then explored in particular under varying conditions. © 2012 IEEE.

Citation

Bull, L. (2012). Evolving boolean networks on tunable fitness landscapes. IEEE Transactions on Evolutionary Computation, 16(6), 817-828. https://doi.org/10.1109/TEVC.2011.2173578

• Journal Article Type: Article
• Publication Date: Dec 10, 2012
• Deposit Date: Jan 21, 2013
• Journal: IEEE Transactions on Evolutionary Computation
• Print ISSN: 1089-778X
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 16
• Issue: 6
• Pages: 817-828
• DOI: https://doi.org/10.1109/TEVC.2011.2173578
• Keywords: asynchrony, coevolution, gene duplication, multicellularity, regulatory networks
• Public URL: https://uwe-repository.worktribe.com/output/951988
• Publisher URL: http://dx.doi.org/10.1109/TEVC.2011.2173578