doi: 10.4304/jsw.1.3.14-23
Evolutionary Computing for Detection of Retentive Structures in Coastal Waters
- 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 Gulfof Biscay seems to be related to the presence of socalled“retentive” hydrodynamical structures, that keep fisheggs and larvae in a favorable environment. To verifythis hypothesis, an automatic detection tool is needed toprocess a database of thousands of hydrodynamical mapsto be compared with biologists observations and fisheriesstatistics. The results could be used to decide fishing quotasor bans for the sake of preserving the natural resource. Wepropose two evolutionary schemes, one based on ant systems,the other on induction of genetic programming filters, inorder to automatically detect these retentive structures. Ourheuristics are shown to be competitive with human expertsand are compared to other detection schemes.
Keywords
- Evolutionary computation
- genetic progra
How to Cite
Marc Segond, Denis Robilliard, Virginie Marion, and Cyril Fonlupt, "Evolutionary Computing for Detection of Retentive Structures in Coastal Waters," Journal of Software, vol. 1, no. 3, pp. 14-23, 2006. https://doi.org/ 10.4304/jsw.1.3.14-23
Copyright & License
Copyright © 2006 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).