Abstract
In a recent article Chu et al. presented a computational model investigating the evolutionary origin of so-called uptake signal sequences in bacteria. In that contribution the authors used an agent-based approach. The main aim of this article is to understand the fitness-landscape on which the agents operate. We propose such a fitness- landscape and discuss its implications. This opens the possibility to use GAs for future simulations rather than the computationally expensive agent-based model.
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Chu, D., Rowe, J. (2005). A Fitness-Landscape for the Evolution of Uptake Signal Sequences on Bacterial DNA. In: Capcarrère, M.S., Freitas, A.A., Bentley, P.J., Johnson, C.G., Timmis, J. (eds) Advances in Artificial Life. ECAL 2005. Lecture Notes in Computer Science(), vol 3630. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553090_85
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DOI: https://doi.org/10.1007/11553090_85
Publisher Name: Springer, Berlin, Heidelberg
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