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

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@Article{Turton:1998:EPA,

• 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

Citations