Thermal agents: An application of genetic programming to virtual engineering

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Daniel A. Ashlock and Kenneth M. Bryden",
  title =        "Thermal agents: An application of genetic programming
                 to virtual engineering",
  booktitle =    "Proceedings of the 2003 Congress on Evolutionary
                 Computation CEC2003",
  editor =       "Ruhul Sarker and Robert Reynolds and 
                 Hussein Abbass and Kay Chen Tan and Bob McKay and Daryl Essam and 
                 Tom Gedeon",
  pages =        "1340--1347",
  year =         "2003",
  publisher =    "IEEE Press",
  address =      "Canberra",
  publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
                 08855-1331, USA",
  month =        "8-12 " # dec,
  organisation = "IEEE Neural Network Council (NNC), Engineers Australia
                 (IEAust), Evolutionary Programming Society (EPS),
                 Institution of Electrical Engineers (IEE)",
  keywords =     "genetic algorithms, genetic programming, Boundary
                 conditions, Genetic engineering, Geometry, Impedance,
                 Iterative methods, System testing, Systems engineering
                 and theory, Temperature, Thermal engineering, iterative
                 methods, mechanical engineering computing, temperature
                 distribution, thermal engineering, cellular
                 decomposition, exploratory analysis, iterative method,
                 iterative thermal solver, thermal agents, thermal
                 boundary condition, virtual engineering",
  ISBN =         "0-7803-7804-0",
  DOI =          "doi:10.1109/CEC.2003.1299824",
  size =         "8 pages",
  abstract =     "The temperature profile across an object is easy to
                 compute by iterative methods. The time spent waiting
                 for iterative solutions to converge for multiple
                 objects in a complex configuration is an impediment to
                 exploratory analysis of engineering systems. A rapidly
                 computed initial guess can speed convergence for an
                 iterative thermal solver. We describe and test a system
                 for creating thermal agents that supply such initial
                 guesses. Thermal agents are specific to an object
                 geometry but general across different thermal boundary
                 conditions. During an off-line training phase, genetic
                 programming is used to locate a thermal agent by
                 training on one or more sets of boundary conditions. In
                 use, thermal agents transform boundary conditions into
                 a rapidly converged set of initial values on a cellular
                 decomposition of an object.",
  notes =        "CEC 2003 - A joint meeting of the IEEE, the IEAust,
                 the EPS, and the IEE.",

Genetic Programming entries for Daniel Ashlock Kenneth M Bryden