Abstract
In this paper we describe the Distributed Perception Algorithm (DPA) which is partly inspired by the schooling behaviour of ‘golden shiner’ fish (Notemigonus crysoleucas). These fish display a preference for shaded habitat and recent experimental work has shown that the fish use both individual and distributed perception in navigating their environment. We assess the contribution of each element of the DPA and also benchmark its results against those of canonical PSO.
Cite
CITATION STYLE
Brabazon, A., & Cui, W. (2016). Distributed perception algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9713 LNCS, pp. 361–369). Springer Verlag. https://doi.org/10.1007/978-3-319-41009-8_39
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