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A Comparison of Genetic Regulatory Network Dynamics and Encoding

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

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Official URL: https://doi.org/10.1145/3071178.3071322

Abstract

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)
Additional Information:ISBN: 978-1-4503-4920-8 https://dl.acm.org/citation.cfm?id=3071178.3071322
HAL Id:hal-01912802
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
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Deposited By: IRIT IRIT
Deposited On:24 Sep 2018 12:35

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