A review of computational models of gene regulatory networks, covering modelling techniques and their application to control dynamics, evolutionary algorithms, morphogenesis, and neuromodulation.
Nov 1, 2018
This paper presents a new algorithm for the evolution of artificial gene regulatory networks (GRNs), using a network distance metric for speciation and genetic similarity. The algorithm is inspired by the neuroevolution of augmenting topologies (NEAT) algorithm and demonstrates superior performance compared to standard GA and evolutionary programming across various experiments.
Jan 23, 2015