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Using cultural algorithm with evolutionary computing to extract site location decisions from spatio-temporal databases

  • Engineering, Decision Support, and Control Applications
  • Conference paper
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Evolutionary Programming VI (EP 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1213))

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Abstract

In this paper Cultural Algorithms are used to generate networks of sites within a historical database of sites for the Valley of Oaxaca. These networks are described in terms of multiple criteria spanning trees computed by Cultural Algorithms with an evolutionary programming shell. The results are used to explain changes in site location decision-making over time in the valley.

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Author information

Authors and Affiliations

  1. Computer Science Department, Wayne State University, 48202, Detroit, MI

    Robert Reynolds & Ayman Nazzal

Authors
  1. Robert Reynolds
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  2. Ayman Nazzal
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Editor information

Peter J. Angeline Robert G. Reynolds John R. McDonnell Russ Eberhart

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© 1997 Springer-Verlag Berlin Heidelberg

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Reynolds, R., Nazzal, A. (1997). Using cultural algorithm with evolutionary computing to extract site location decisions from spatio-temporal databases. In: Angeline, P.J., Reynolds, R.G., McDonnell, J.R., Eberhart, R. (eds) Evolutionary Programming VI. EP 1997. Lecture Notes in Computer Science, vol 1213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0014832

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  • DOI: https://doi.org/10.1007/BFb0014832

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62788-3

  • Online ISBN: 978-3-540-68518-0

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