Disset, Jean, Wilson, Dennis, Cussat-Blanc, Sylvain, Sanchez, Stéphane, Luga, Hervé and Duthen, Yves (2017) A Comparison of Genetic Regulatory Network Dynamics and Encoding. In: Genetic and Evolutionary Computation COnference (GECCO 2017), 15 July 2017 - 19 July 2017, Berlin, Germany.

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Genetic Regulatory Networks (GRNs) implementations have a high degree of variability in their details. Parameters, encoding methods, and dynamics formulas all differ in the literature, and some GRN implementations have a high degree of model complexity. In this paper, we present a comparative study of different implementations of a GRN and introduce new variants for comparison. We use a modified Genetic Algorithm (GA) to evaluate GRN performance on a number of common benchmark tasks, with a focus on real-time control problems. We propose an encoding scheme and set of dynamics equations that simplifies implementation and evaluate the evolutionary fitness of this proposed method. Lastly, we use the comparative modifications study to demonstrate overall enhancements for GRN models.

Item Type: Conference or Workshop Item (Paper)
Date: 2017
Uncontrolled Keywords: Genetic algorithms - Fitness evaluations - Representations
Divisions: Institut de Recherche en Informatique de Toulouse
Site: UT1
Date Deposited: 22 Feb 2019 14:16
Last Modified: 02 Apr 2021 15:58
URI: https://publications.ut-capitole.fr/id/eprint/28627
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