Grey wolf optimizer: a new strategy to invert geophysical data sets

ABSTRACT There is no meta‐heuristic approach best suited for solving all optimization problems making this field of study highly active. This results in enhancing current approaches and proposing new meta‐heuristic algorithms. Out of all meta‐heuristic algorithms, swarm intelligence is preferred as...

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Veröffentlicht in:	Geophysical Prospecting 2018-07, Vol.66 (6), p.1215-1226
Hauptverfasser:	Agarwal, Aayush, Chandra, Akash, Shalivahan, Shalivahan, Singh, Roshan K
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Anomalies Boreholes Canidae Computer simulation Datasets Dikes Geophysical data Geophysics Gravitation Gravity Grey Wolf Optimization Handling Heuristic Heuristic methods Hunting Leadership Mathematical models Noise Nonlinear inversion Particle swarm optimization Potential field Predators Profiles Random noise Searching Spatial variations Swarm intelligence Wildlife conservation Wolves
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