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A novel bio-inspired optimization model based on Yellow Saddle Goatfish behavior by Daniel Zaldívar; Bernardo Morales; Alma Rodríguez; Arturo Valdivia-G; Erik Cuevas; Marco Pérez-Cisneros is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

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Several species of fish live in groups to increase their foraging efficiency and reproduction rates. Such groups are considered self-organized since they can adopt different cooperative actions without the presence of an apparent leader. One of their most interesting collaborative behaviors found in fish is the hunting strategy presented by the Yellow Saddle Goatfish (Parupeneus cyclostomus). In this strategy, the complete group of fish is distributed in subpopulations to cover the whole hunting region. In each sub-population, all fish participate collectively in the hunt considering two different roles: chaser and blocker. In the hunt, a chaser fish actively tries to find the prey in a certain area whereas a blocker fish moves spatially to avoid the escape of the prey. In this paper, we develop the hunting model of Yellow Saddle Goatfish, which at some abstraction level can be characterized as a search strategy for optimization proposes. In the approach, different computational operators are designed in order to emulate this peculiar hunting behavior. With the use of this biological model, the new search strategy improves the optimization results in terms of accuracy and convergen

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Author

Daniel Zaldívar; Bernardo Morales; Alma Rodríguez; Arturo Valdivia-G; Erik Cuevas; Marco Pérez-Cisneros

Publisher

Elsevier BV

Published

2018

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)