Artificial fish swarm algorithm: a survey of the state-of-the-art, hybridization, combinatorial and indicative applications

AFSA (artificial fish-swarm algorithm) is one of the best methods of optimization among the swarm intelligence algorithms. This algorithm is inspired by the collective movement of the fish and their various social behaviors. Based on a series of instinctive behaviors, the fish always try to maintain...

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Veröffentlicht in:	The Artificial intelligence review 2014-12, Vol.42 (4), p.965-997
Hauptverfasser:	Neshat, Mehdi, Sepidnam, Ghodrat, Sargolzaei, Mehdi, Toosi, Adel Najaran
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Animals Artificial Intelligence Behavior Combinatorial analysis Computer engineering Computer Science Dealing Fault tolerance Fish Food Optimization Searching State of the art Variables
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