Created by W.Langdon from gp-bibliography.bib Revision:1.2031
@InProceedings{ashlock:2003:taaaogptve,
author = "Dan 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",
ISBN = "0-7803-7804-0",
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