Starling murmuration optimizer: A novel bio-inspired algorithm for global and engineering optimization

This paper presents a novel bio-inspired algorithm inspired by starlings’ behaviors during their stunning murmuration named starling murmuration optimizer (SMO) to solve complex and engineering optimization problems as the most appropriate application of metaheuristic algorithms. The SMO introduces...

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Veröffentlicht in:	Computer methods in applied mechanics and engineering Jg. 392; S. 114616
Hauptverfasser:	Zamani, Hoda, Nadimi-Shahraki, Mohammad H., Gandomi, Amir H.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 15.03.2022 Elsevier BV
Schlagworte:	Algorithms Applied mechanics and engineering problems Bio-inspired algorithm Diving Harmonic oscillators Heuristic methods Mechanical engineering Metaheuristic algorithm Optimization Optimization algorithm Quantum computing Search methods Statistical analysis Swarm intelligence algorithm Swarm intelligence algorithm Applied mechanics and engineering problems Optimization algorithm Quantum computing Metaheuristic algorithm Bio-inspired algorithm
ISSN:	0045-7825
Online-Zugang:	Volltext
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