Evolving Differentiable Gene Regulatory Networks

@article{Wilson2018EvolvingDG,
  title={Evolving Differentiable Gene Regulatory Networks},
  author={Dennis G. Wilson and Kyle Ira Harrington and Sylvain Cussat-Blanc and Herv{\'e} Luga},
  journal={ArXiv},
  year={2018},
  volume={abs/1807.05948}
}
Over the past twenty years, artificial Gene Regulatory Networks (GRNs) have shown their capacity to solve real-world problems in various domains such as agent control, signal processing and artificial life experiments. They have also benefited from new evolutionary approaches and improvements to dynamic which have increased their optimization efficiency. In this paper, we present an additional step toward their usability in machine learning applications. We detail an GPU-based implementation of… CONTINUE READING
10
Twitter Mentions

References

Publications referenced by this paper.
SHOWING 1-10 OF 20 REFERENCES

A comparison of genetic regulatory network dynamics and encoding

Disset et al, J. 2017 Disset, +4 authors Y. Duthen
  • In Proceedings of the Genetic and Evolutionary Computation Conference,
  • 2017

Redundancy in the evolution of artificial gene regulatory networks for morphological development

Schramm et al, L. 2012 Schramm, Y. Jin, B. Sendhoff
  • In IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology
  • 2012

Similar Papers

Loading similar papers…