Efficient maximum iterations for swarm intelligence algorithms: a comparative study

A swarm intelligence algorithm usually iterates many times to approximate the optimum to obtain the solution of a problem. The maximum iteration is influenced by many factors such as the algorithm itself, problem types, as well as dimensions and search space sizes of decision variables. There are fe...

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Veröffentlicht in:	The Artificial intelligence review Jg. 58; H. 3; S. 87
Hauptverfasser:	Si-Ma, Shen, Liu, Han-Ming, Zhan, Hong-Xiang, Liu, Zhao-Fa, Guo, Gang, Yu, Cong, Hu, Peng-Cheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 08.01.2025 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Benchmarks Comparative analysis Comparative studies Complexity Computer Science Intelligence Optimization Searching Swarm intelligence Large-scale comparison Swarm intelligence algorithm Efficient maximum iteration CEC benchmark set
ISSN:	1573-7462, 0269-2821, 1573-7462
Online-Zugang:	Volltext
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