Volume 1 Number 3 (Sep. 2006)
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JSW 2006 Vol.1(3): 14-23 ISSN: 1796-217X
doi: 10.4304/jsw.1.3.14-23

Evolutionary Computing for Detection of Retentive Structures in Coastal Waters

Marc Segond, Denis Robilliard, Virginie Marion, Cyril Fonlupt
Laboratoire d’Informatique du Littoral, Maison de la Recherche Blaise Pascal, 50 rue Ferdinand Buisson - BP 719, 62228 CALAIS Cedex, France

Abstract—The demography of anchovy fishes in the Gulf of Biscay seems to be related to the presence of socalled “retentive” hydrodynamical structures, that keep fish eggs and larvae in a favorable environment. To verify this hypothesis, an automatic detection tool is needed to process a database of thousands of hydrodynamical maps to be compared with biologists observations and fisheries statistics. The results could be used to decide fishing quotas or bans for the sake of preserving the natural resource. We propose two evolutionary schemes, one based on ant systems, the other on induction of genetic programming filters, in order to automatically detect these retentive structures. Our heuristics are shown to be competitive with human experts and are compared to other detection schemes.

Index Terms—Evolutionary computation, genetic programming, iterative filters, automatic structure detection

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Cite: Marc Segond, Denis Robilliard, Virginie Marion, Cyril Fonlupt, " Evolutionary Computing for Detection of Retentive Structures in Coastal Waters," Journal of Software vol. 1, no. 3, pp. 14-23, 2006.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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