Dung beetle optimizer: a new meta-heuristic algorithm for global optimization

In this paper, a novel population-based technique called dung beetle optimizer (DBO) algorithm is presented, which is inspired by the ball-rolling, dancing, foraging, stealing, and reproduction behaviors of dung beetles. The newly proposed DBO algorithm takes into account both the global exploration...

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Veröffentlicht in:	The Journal of supercomputing Jg. 79; H. 7; S. 7305 - 7336
Hauptverfasser:	Xue, Jiankai, Shen, Bo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.05.2023 Springer Nature B.V
Schlagworte:	Accuracy Algorithms Beetles Behavior Compilers Computer Science Convergence Design Design engineering Dung Functions (mathematics) Global optimization Heuristic methods Interpreters Mathematical programming Optimization algorithms Optimization techniques Processor Architectures Programming Languages Rank tests Convergence rate Engineering applications Swarm intelligence Dung beetle optimizer (DBO) Particle swarm optimization (PSO)
ISSN:	0920-8542, 1573-0484
Online-Zugang:	Volltext
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