Abstract
Demography of the anchovy in the Gulf of Biscay is supposed to be linked with the presence of retentive vortices structures, that could retain eggs and larvae in particular environmental conditions. An automatic process for identifying such structures in massive datasets is needed to corroborate this hypothesis with biology statistics. The data we are working on is a large set of vector fields issuing from ten years of daily hydro-dynamical simulations of the stream circulation. Classical vortices detection methods on vector fields do not focus specifically on retentive structures, thus we propose an adaptation of the ant algorithm paradigm for this identification task. We show that this scheme easily achieves retrieval of significant structures.
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References
Corpetti, T., Mémin, E., Pérez, P.: Dense estimation of fluid flows. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(3), 365–380 (2002)
Corpetti, T., Mémin, E., Pérez, P.: Extraction of singular points from dense motion fields: an analytic approach. Journal of Mathematical Imaging and Vision (2003) (to appear)
Corpetti, T.: Estimation de l’analyse de champs denses de vitesses d’écoulements fluides. PhD thesis, Université de Rennes 1, France (2002) (in French)
Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm Intelligence: From Natural to Artificial Systems. Oxford University Press, Oxford (1999)
Corne, D., Dorigo, M., Glover, F. (eds.): New Ideas in Optimisation. McGraw-Hill, New York (1999)
Dorigo, M., Maniezzo, V., Colorni, A.: Positive feedback as a search strategy. Technical Report 91-016, Politecnico di Milano, Milano, Italy (1991)
Dorigo, M., Maniezzo, V., Colorni, A.: The ant system: Optimization by a colony of cooperating agents. IEEE Transactions on Systems, Mans, and Cybernetics 1(26), 29–41 (1996)
Dorigo, M., Gambardella, L.: Ant colonies for the traveling salesman problem. Technical Report TR/IRIDIA/1996-3, IRIDIA, Université Libre de Bruxelles, Belgium (1996)
Dorigo, M., Gambardella, L.: Ant colony system: A cooperative learning approach to the traveling salesman problem. IEEE Transactions on Evolutionary Computation 1(1), 53–66 (1997)
Gambardella, L., Dorigo, M.: ANT-Q: A reinforcement learning approach to the traveling salesman problem. In: Proceedings of the twelth International Conference on Machine Learning, pp. 252–260 (1995)
Dorigo, M., Gambardella, L.: A study of some properties of ant-q. In: International Conference on Evolutionary Computation: the 4th Conference on Parallel Problem Solving from Nature, pp. 656–665 (1996)
Di Caro, G., Dorigo, M.: Antnet: A mobile agents approach to adaptive routing. Technical Report IRIDIA/97-12, IRIDIA, Université Libre de Bruxelles, Belgium (1997)
Bilchev, G., Parmee, I.: The ant colony metaphor for searching continuous design spaces. In: Fogarty, T.C. (ed.) AISB-WS 1995. LNCS, vol. 993, pp. 24–39. Springer, Heidelberg (1995)
Monmarché, N., Slimane, M., Venturini, G.: On how Pachycondyla apicalis ans suggest a new search algorithm. Future Generation Computer Systems 16(8), 937–946 (2001)
Costa, D., Hertz, A.: Ants can color graphs. Journal of Operation Research Society (48), 295–305 (1997)
Monmarché, N., Slimane, M., Venturini, G.: L’algorithme antclass: classification non supervisée par une colonie de fourmis artificielles. Extraction des Connaissances et Apprentissage: Apprentisage et évolution 1(3), 131–166 (2001)
Stutzle, T., Hoos, H.: The MAX-MIN ant system and local search for the traveling salesman problem. In: International Conference on Evolutionary Computation, pp. 308–313 (1997)
Stutzle, T., Hoos, H.: Improvements on the ant system: Introducing the MAXMIN ant system. In: Proceedings of the third International Conference on Artificial Neural Networks and Genetic Algorithms (1997)
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© 2004 Springer-Verlag Berlin Heidelberg
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Segond, M., Mahler, S., Robilliard, D., Fonlupt, C., Planque, B., Lazure, P. (2004). Ant Algorithm for Detection of Retentive Structures in Coastal Waters. In: Liardet, P., Collet, P., Fonlupt, C., Lutton, E., Schoenauer, M. (eds) Artificial Evolution. EA 2003. Lecture Notes in Computer Science, vol 2936. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24621-3_14
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DOI: https://doi.org/10.1007/978-3-540-24621-3_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21523-3
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