Spider wasp optimizer: a novel meta-heuristic optimization algorithm

This work presents a new nature-inspired meta-heuristic algorithm named spider wasp optimization (SWO) algorithm, which is based on replicating the hunting, nesting, and mating behaviors of the female spider wasps in nature. This proposed algorithm has various unique updating strategies, making it a...

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Veröffentlicht in:	The Artificial intelligence review Jg. 56; H. 10; S. 11675 - 11738
Hauptverfasser:	Abdel-Basset, Mohamed, Mohamed, Reda, Jameel, Mohammed, Abouhawwash, Mohamed
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.10.2023 Springer Springer Nature B.V
Schlagworte:	Algorithms Analysis Artificial Intelligence Benchmarks Computer Science Design engineering Exploitation Heuristic Heuristic methods Hunting Mathematical optimization Mating Optimization Parameter estimation Pressure vessel design Pressure vessels Reliability Source code Spiders Tests World problems Metaheuristic Engineering design problems Spider wasp optimizer Stochastic optimization Constrained optimization
ISSN:	0269-2821, 1573-7462
Online-Zugang:	Volltext
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