Lyell Collection
Geological Society, London, Special Publications
Lyell Centre  |   Lyell Collection  |   Subscriptions   |   Geological Society  |   Email alerts  |   Online bookshop  |   Help

Keywords:
Author:
Advanced search>>
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Bornholdt, S.
Right arrow Articles by Westphal, H.
Right arrow Search for Related Content
GeoRef
Right arrow GeoRef Citation
Geological Society, London, Special Publications; 1998; v. 134; p. 371-379;
DOI: 10.1144/GSL.SP.1998.134.01.17
© 1998 Geological Society of London

Numerical Modelling

Automation of stratigraphic simulations: quasi-backward modelling using genetic algorithms

Stefan Bornholdt1 & Hildegard Westphal2

1 Institut für Theoretische Physik, Universität Kiel, Leibnizstrasse 15, 24098 Kiel, Germany bornholdt{at}theo-physik.uni-kiel.de
2 GEOMAR, Wischhofstrasse 1-3, 24148 Kiel, Germany hwestphal{at}geomar.de

Stratigraphic modelling involves a multi-dimensional parameter-fitting process where a large number of free model parameters are determined by hand in an iterative sequence of educated guesses. This problem can be viewed as an optimization task. It is solved here using a genetic algorithm. The iterative trying and checking process, which previously had to be done manually, is thereby automated. This method is demonstrated to be consistent for a completely defined toy model. Furthermore it is applied to a real problem involving the Eocene to Miocene succession of the Bavarian Molasse Basin.