A review of artificial fish swarm algorithms: recent advances and applications

The Artificial Fish Swarm Algorithm (AFSA) is inspired by the ecological behaviors of fish schooling in nature, viz., the preying, swarming and following behaviors. Owing to a number of salient properties, which include flexibility, fast convergence, and insensitivity to the initial parameter settin...

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Veröffentlicht in:	The Artificial intelligence review Jg. 56; H. 3; S. 1867 - 1903
Hauptverfasser:	Pourpanah, Farhad, Wang, Ran, Lim, Chee Peng, Wang, Xi-Zhao, Yazdani, Danial
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.03.2023 Springer Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Combinatorial analysis Computer Science Convergence Fish Human beings Influence on nature Intelligence Mathematical models Optimization Parameter modification Property Swarm intelligence World problems Artificial fish swarm algorithm Hybrid models Continuous optimization Dynamic optimization Swarm intelligence Multi-objective optimization Fish schooling
ISSN:	0269-2821, 1573-7462
Online-Zugang:	Volltext
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