An evolutionary system using development and artificial Genetic Regulatory Networks for electronic circuit design

Biology presents incomparable, but desirable, characteristics compared to engineered systems. Inspired by biological development, we have devised a multi-layered design architecture that attempts to capture the favourable characteristics of biological mechanisms for application to design problems. We have identified and implemented essential features of Genetic Regulatory Networks (GRNs) and cell signalling which lead to self-organization and cell differentiation. We have applied this to electronic circuit design.

[1]  A. Wagner.  Robustness and Evolvability in Living Systems , 2005 .

[2]  R. F. Cancho,et al.  Topology of technology graphs: small world patterns in electronic circuits. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[3]  Dario Floreano,et al.  POEtic Tissue: An Integrated Architecture for Bio-inspired Hardware , 2003, ICES.

[4]  B. Bainbridge,et al.  Genetics , 1981, Experientia.

[5]  D. Hanahan,et al.  The Hallmarks of Cancer , 2000, Cell.

[6]  Chrystopher L. Nehaniv,et al.  Evolving Embodied Genetic Regulatory Network-Driven Control Systems , 2003, ECAL.

[7]  P. E. Hotz,et al.  Evolving the morphology of a neural network for controlling a foveating retina: and its test on a real robot , 2002 .

[8]  Tim Taylor.  A Genetic Regulatory Network-Inspired Real-Time Controller for a Group of Underwater Robots , 2005 .

[9]  Lewis Wolpert,et al.  Principles of Development , 1997 .

[10]  Julian Francis Miller,et al.  Obtaining system robustness by mimicking natural mechanisms , 2009, 2009 IEEE Congress on Evolutionary Computation.

[11]  Julian Francis Miller,et al.  Evolving a Self-Repairing, Self-Regulating, French Flag Organism , 2004, GECCO.

[12]  Tughrul Arslan,et al.  Proceedings of the 2003 NASA/DoD Conference on Evolvable Hardware , 2003 .

[13]  Daniel Roggen,et al.  Multi-cellular Development: Is There Scalability and Robustness to Gain? , 2004, PPSN.

[14]  Julian Francis Miller,et al.  Redundancy and computational efficiency in Cartesian genetic programming , 2006, IEEE Transactions on Evolutionary Computation.

[15]  Dario Floreano,et al.  Analog Genetic Encoding for the Evolution of Circuits and Networks , 2007, IEEE Transactions on Evolutionary Computation.

[16]  Richard B. Fair,et al.  Digital microfluidics: is a true lab-on-a-chip possible? , 2007 .

[17]  J. Miller,et al.  Guidelines: From artificial evolution to computational evolution: a research agenda , 2006, Nature Reviews Genetics.

[18]  Diego Rasskin-Gutman,et al.  Modularity. Understanding the Development and Evolution of Natural Complex Systems , 2005 .

[19]  Chris P. Bowers.  Formation of modules in a computational model of embryogeny , 2005, 2005 IEEE Congress on Evolutionary Computation.

[20]  Janet Wiles,et al.  A gene regulatory network for cell differentiation in caenorhabditis elegans , 2003 .

[21]  René Thomas.  Regulatory networks seen as asynchronous automata: A logical description , 1991 .

[22]  Gunnar Tufte,et al.  Building Knowledge into Developmental Rules for Circuit Design , 2003, ICES.

[23]  Linda Van Speybroeck.  Capturing complex systems in terms of modularity: review of modularity: understanding the development and evolution of natural complex systems: Werner Callebaut & Diego Rasskin-Gutman (eds.) , 2005 .

[24]  A. Koopman,et al.  Hardware-Friendly Gene Regulatory Networks in POEtic tissue , 2004 .

[25]  Hermann Kopetz,et al.  Fault tolerance, principles and practice , 1990 .

[26]  Julian Francis Miller,et al.  Cartesian genetic programming , 2000, GECCO '10.

[27]  Julian Francis Miller,et al.  Finding Needles in Haystacks Is Not Hard with Neutrality , 2002, EuroGP.

[28]  Julian Francis Miller,et al.  Evolution in Materio: Exploiting the Physics of Materials for Computation , 2008, Int. J. Unconv. Comput..

[29]  I. Herskowitz,et al.  Genes and development: Molecular and logical themes , 1990 .

[30]  J. Miller,et al.  An Intrinsic Robust Transient Fault-Tolerant Developmental Model for Digital Systems , 2004 .

[31]  J. Hancock,et al.  Principles of cell signalling , 2003 .

[32]  Berend Snel,et al.  Quantifying modularity in the evolution of biomolecular systems. , 2004, Genome research.

[33]  Julian Francis Miller,et al.  The Advantages of Landscape Neutrality in Digital Circuit Evolution , 2000, ICES.

[34]  G. Edelman,et al.  Degeneracy and complexity in biological systems , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[35]  E. Davidson.  Genomic Regulatory Systems: Development and Evolution , 2005 .

[36]  Peter J. Bentley,et al.  Development brings scalability to hardware evolution , 2005, 2005 NASA/DoD Conference on Evolvable Hardware (EH'05).

[37]  Sanjeev Kumar,et al.  Investigating computational models of development for the construction of shape and form , 2004 .