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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Bibliographic Details
Published in:	The Artificial intelligence review Vol. 56; no. 11; pp. 13187 - 13257
Main Authors:	Rajwar, Kanchan, Deep, Kusum, Das, Swagatam
Format:	Journal Article
Language:	English
Published:	England Springer 01.11.2023 Springer Nature B.V Springer Netherlands
Subjects:	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
Online Access:	Get full text
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