JOURNAL OF SOFTWARE (JSW)
ISSN : 1796-217X
Volume : 1    Issue : 3    Date : September 2006

Evolutionary Computing for Detection of Retentive Structures in Coastal Waters
Marc Segond, Denis Robilliard, Virginie Marion, and Cyril Fonlupt
Page(s): 14-23
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Abstract
The demography of anchovy fishes in the Gulf of Biscay seems to be related to the presence of so-
called “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