An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges

As the world moves towards industrialization, optimization problems become more challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms (MAs) have been developed to date, with over 350 of them appearing in the last decade. The literature has grown significantly in recen...

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Vydané v:	The Artificial intelligence review Ročník 56; číslo 11; s. 13187 - 13257
Hlavní autori:	Rajwar, Kanchan, Deep, Kusum, Das, Swagatam
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Springer 01.11.2023 Springer Nature B.V Springer Netherlands
Predmet:	Algorithms Application Classification Community research Heuristic methods Industrialization Mathematical optimization Newcomers Optimization Optimization techniques Property Taxonomy Parameter Metaheuristic algorithm Optimization Nature inspired algorithm
ISSN:	0269-2821, 1573-7462
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