Differential gene expression with tree-adjunct grammars

Authors:
Eoin Murphy;Miguel Nicolau;Erik Hemberg;Michael O'Neill;Anthony Brabazon
Affiliations:
Natural Computing Research and Applications Group, Univeristy College Dublin, Ireland;Natural Computing Research and Applications Group, Univeristy College Dublin, Ireland;Natural Computing Research and Applications Group, Univeristy College Dublin, Ireland;Natural Computing Research and Applications Group, Univeristy College Dublin, Ireland;Natural Computing Research and Applications Group, Univeristy College Dublin, Ireland
Venue:
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
Year:
2012

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Abstract

A novel extension of an existing artificial Gene Regulatory Network model is introduced, combining the dynamic adaptive nature of this model with the generative power of grammars. The use of grammars enables the model to produce more varied phenotypes, allowing its application to a wider range of problems. The performance and generalisation ability of the model on the inverted-pendulum problem, using a range of different grammars, is compared against the existing model.