Abstract
In this contribution we seek to evolve viable parameter values for a small-scale biological network motif concerned with bacterial nutrient uptake and metabolism. We use two different evolutionary approaches with the model: implicit and explicit. Our results reveal that significantly different characteristics of both efficiency and timescale emerge in the resulting evolved systems depending on the which particular approach is used. © 2014 Springer International Publishing.
Cite
CITATION STYLE
Barnes, D. J., & Chu, D. (2014). Evolving parameters for a noisy biological system - The impact of alternative approaches. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8468 LNAI, pp. 95–106). Springer Verlag. https://doi.org/10.1007/978-3-319-07176-3_9
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
