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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Vydané v:	The Artificial intelligence review Ročník 56; číslo 3; s. 1867 - 1903
Hlavní autori:	Pourpanah, Farhad, Wang, Ran, Lim, Chee Peng, Wang, Xi-Zhao, Yazdani, Danial
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Dordrecht Springer Netherlands 01.03.2023 Springer Springer Nature B.V
Predmet:	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
On-line prístup:	Získať plný text
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