Biological Development model for the design of Robust Digital System

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@PhdThesis{HengLiu:thesis,
  author =       "Heng Liu",
  title =        "Biological Development model for the design of Robust
                 Digital System",
  school =       "Electronic Engineering, York University",
  year =         "2008",
  address =      "UK",
  month =        sep,
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 genetic programming, Fault-tolerance, Evolvable
                 hardware, FPGA, Development principle, Multicellular
                 organism, Evolutionary algorithm, French Flag,
                 Multiplier, Digital circuit, Autonomous Robot
                 Controller",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/HengLiu_thesis.pdf",
  size =         "180 pages",
  abstract =     "This thesis presents a biologically-inspired
                 developmental model for the design of digital circuits.
                 Circuits have been evolved that exhibit the ability to
                 self-repair and correct transient faults to recover
                 correct functionality. The method devised gives no
                 explicit coordinate information to the evolved cell
                 circuits.

                 The method presented has been implemented fully in
                 electronic hardware. This allowed developmental
                 circuits to be evolved considerably more quickly than
                 in software simulation.

                 The methods presented have been applied to produce a
                 self-repairing two bit multiplier and an autonomous
                 robot controller circuit. Results are presented that
                 shows that after introduction of faults, both circuits
                 can autonomously recover correct functionality.",
  notes =        "Liu Heng created a hardware model based on my
                 developmental 'French flag' work. He introduced an
                 execution unit in each cell, whose code was evolved
                 (written in CGP), together with developmental code
                 (also in CGP). He was able to evolve a self-repairing
                 2-bit parallel multiplier and also robot controllers,
                 which recovered autonomously fater damage.

                 EO, Xilinx XCV1000, Celoxia RC1000, PLX PCI9080,
                 multiplier, Kiki robot

                 Supervised by Julian Francis Miller and Andy Tyrrell",
}

Genetic Programming entries for Heng Liu

Citations