A Comprehensive Survey of the Harmony Search Algorithm in Clustering Applications

The Harmony Search Algorithm (HSA) is a swarm intelligence optimization algorithm which has been successfully applied to a broad range of clustering applications, including data clustering, text clustering, fuzzy clustering, image processing, and wireless sensor networks. We provide a comprehensive...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Laith Abualigah, Ali Diabat, Zong Woo Geem
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2020-05-01
Edice:	Applied Sciences
Témata:	harmony search algorithm meta-heuristic optimization algorithms optimization problems clustering applications
On-line přístup:	https://www.mdpi.com/2076-3417/10/11/3827
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!