High-performance computing and geography: developments, issues, and case studies

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "I. Turton and S. Openshaw",
  title =        "High-performance computing and geography:
                 developments, issues, and case studies",
  journal =      "Environment and Planning A",
  year =         "1998",
  volume =       "30",
  number =       "10",
  pages =        "1839--1856",
  publisher =    "Pion Ltd",
  keywords =     "genetic algorithms, genetic programming, Fortran",
  URL =          "http://www.envplan.com/abstract.cgi?id=a301839",
  DOI =          "doi:10.1068/a301839",
  size =         "18 pages",
  abstract =     "In this paper we outline some of the results that were
                 obtained by the application of a Cray T3D parallel
                 supercomputer to human geography problems. We emphasise
                 the fundamental importance of high-performance
                 computing (HPC) as a future relevant paradigm for doing
                 geography. We offer an introduction to recent
                 developments and illustrate how new computational
                 intelligence technologies can start to be used to make
                 use of opportunities created by data riches from
                 geographic information systems, artificial intelligence
                 tools, and HPC in geography.",

Genetic Programming entries for Ian Turton Stanley Openshaw