Abstract
We describe the BNH-Whale algorithm, which simulates a method of catching schooling fish employed by humpback whales called bubble net hunting. When this method is used, the fish are herded into a net of bubbles created by one or more whales. Modified flocking algorithms are used to guide whale and fish behaviour, with a relatively complex algorithm being used by the whales to trap and consume fish.
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Acknowledgments
The authors acknowledge financial assistance from the Natural Sciences and Engineering Research Council of Canada via a Discovery Grant to Hamilton and an Undergraduate Student Research Award to Hala.
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Hala, S., Hamilton, H.J., Domenici, P. (2016). Simulating the Bubble Net Hunting Behaviour of Humpback Whales: The BNH-Whale Algorithm. In: Khoury, R., Drummond, C. (eds) Advances in Artificial Intelligence. Canadian AI 2016. Lecture Notes in Computer Science(), vol 9673. Springer, Cham. https://doi.org/10.1007/978-3-319-34111-8_5
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DOI: https://doi.org/10.1007/978-3-319-34111-8_5
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