Adaptive Exhaustive Search Algorithm (Aesa) For Gravity Anomaly Profile Moddelling
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CitationAlbora, A. M., Osman, O., & Ieee. (2016). Adaptive Exhaustive Search Algorithm (Aesa) For Gravity Anomaly Profile Moddelling. New York: Ieee.
In this paper, we introduce a new modelling technique called Adaptive Exhaustive Search Aigorithm (AESA) to distinguish the density and to compute the accurate location in geophysical section respect to its gravity anomali. Proposed algorithm contains two step; the first one is Approximate Search Aigorithm (ASA) which allows us to find the approximate location and the other one is Exhaustive Search Aigorithm (ESA) that considers all probable model structures in the approximate region. ESA takes very long processing time. To shorten this time, here, we apply ASA, and thus, exhaustive search is more applicable. We use AESA algorithm for synthetic data, synthetic noisy data and real data from Siirt Bouguer anomali map in South-East Turkey. It is determined that the model obtained from the proposed algorithm is very close to the geological observations.