Building New Spatial Interaction Models by Using Genetic Programming and a Supercomputer

Bibliographic Data

ID4871663
AuthorsG Diplock (GMAP Ltd, 5-7 Cromer Terrace, Leeds LS2 9JU, England, corresponding author)
Year1998
Volume30
Issue10
Pages1893-1904
Publication date1998-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning A Economy and Space (JOURNAL)
Journal identifiersISSN: 0308-518X • E-ISSN: 1472-3409
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1068/a301893
OpenAlexW2000446695
LanguageEN
Citations received3
References cited11

An application of a parallel genetic programming approach to discovering new spatial interaction models is described. It is noted that geographic information systems have resulted in the creation of extremely data-rich environments but it is proving very difficult to exploit this situation because of the lack of suitable models and the difficulties of model creation by more traditional hypothetico-deductive routes. The author describes how to develop new models via a machine-based inductive approach. A Cray T3D parallel supercomputer with 512 processors is used to investigate the potential of this approach to building computer models. Results are described which allude to the potential power of the method for applications where there is a considerable amount of data but no suitable existing models and no good theoretical framework on which to base their development

Data science · Exploit · Genetic programming · Machine learning · Parallel computing · Programming language · Programming paradigm · Supercomputer · Computer Science · Evolutionary Algorithms and Applications · Greenhouse Technology and Climate Control · Metaheuristic Optimization Algorithms Research · Theoretical Computer Science

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