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001-es BibID:	BIBFORM114049
035-os BibID:	(Scopus)85171153491 (MTMT)34107880
Első szerző:	Gál Zoltán (informatikus)
Cím:	On the Localization Properties of Swarm Intelligence Algorithms / Zoltan Gal, Djamila Talbi, Mahmoud Tourky
Dátum:	2023
Megjegyzések:	This study explores the use of Artificial Bee Colony (ABC), Differential Evolution (DE), Firefly Algorithm (FA) and Grey Wolf Optimization (GWO) swarm intelligence based optimization methods on four search spaces including Sphere, Rosenbrock's saddle, Rastrigin's and Ackley's function. The results showed that GWO had faster convergence with higher precision and was suitable for simple optimization problems. In contrast, DE optimization required more time to converge but managed to locate the minimum point, making it suitable for complex problems. The application of these optimization methods can have significant benefits in the field of Geographic Information Systems (GIS) and landslides. Overall, the findings of this study provide a basis for further research and exploration of the potential applications of ABC, DE, FA and GWO algorithms in the context of GIS and landslides, which can ultimately improve decision-making efficiency and accuracy in these fields.
ISBN:	9798350305869
Tárgyszavak:	Műszaki tudományok Informatikai tudományok előadáskivonat könyvrészlet Data science Swarm Intelligence Differential Evolution Grey Wolf Optimizer Safety Reliability
Megjelenés:	Proceedings of The International Conference on Information and Digital Technologies 2023. - p. 97-104. -
További szerzők:	Talbi, Djamila (1999-) (mérnök informatikus) Tourky, Mahmoud (2000-) (mérnökinformatikus)
Pályázati támogatás:	TKP2021-NKTA Egyéb
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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