Global Optimization of Self-Potential Anomalies Using Hunger Games Search Algorithm

In this paper, the effectiveness of recently proposed Hunger Games Search (HGS) optimization tool, which simulates behavioural choices of the predators in the animal kingdom, in estimating model parameters of idealized causative sources from Self-Potential (SP) anomalies is presented. Before the par...

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Veröffentlicht in:	Pure and applied geophysics 2024-04, Vol.181 (4), p.1303-1336
Hauptverfasser:	Ai, Hanbing, Li, Hongxing, Essa, Khalid S., EKİNCİ, Yunus Levent, Balkaya, Çağlayan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Anomalies Earth and Environmental Science Earth Sciences Game theory Games Geophysics/Geodesy Global optimization Hunger Mathematical models Optimization Parameter estimation Particle swarm optimization Predators Search algorithms
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