SHuffled Ant Lion Optimization approach with an exponentially weighted random walk strategy

Ant Lion Optimization (ALO) method is one of the population-based nature-inspired optimization algorithms which mimics the hunting strategy of antlions. ALO is successfully employed for solving many complicated optimization problems. However, it is reported in the literature that the original ALO ha...

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Veröffentlicht in:	Neural computing & applications Jg. 36; H. 18; S. 10475 - 10499
Hauptverfasser:	Durgut, Pinar G., Tozak, Mirac Bugse, Ayvaz, M. Tamer
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.06.2024 Springer Nature B.V
Schlagworte:	Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Genetic algorithms Image Processing and Computer Vision Optimization Original Article Particle swarm optimization Probability and Statistics in Computer Science Random walk Boundary shrinking procedure Ant Lion Optimization (ALO) SHALO Shuffling
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
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