Gravity inversion of basement relief using Particle Swarm Optimization by automated parameter selection of Fourier coefficients
A global optimization technique using particle swarm optimization (PSO) is presented to
estimate the depth to the basement of a heterogeneous sedimentary basin from the vertical …
estimate the depth to the basement of a heterogeneous sedimentary basin from the vertical …
Structure estimation of 2D listric faults using quadratic Bezier curve for depth varying density distributions
A contemporary and decisive optimization algorithm is developed for inverting gravity
anomalies due to listric faults. The cross‐section of listric faults are generally concave up …
anomalies due to listric faults. The cross‐section of listric faults are generally concave up …
[HTML][HTML] Two-dimensional gravity inversion of basement relief for geothermal energy potentials at the Harrat Rahat volcanic field, Saudi Arabia, using particle swarm …
We invert gravity and magnetic anomalies for basement relief at the Harrat Rahat Volcanic
Field (HRVF) for the purpose of evaluating its geothermal energy prospects. HRVF is …
Field (HRVF) for the purpose of evaluating its geothermal energy prospects. HRVF is …
Crustal structure and fault geometries of the Garhwal Himalaya, India: Insight from new high-resolution gravity data modeling and PSO inversion
A high-resolution gravity survey from the Indo-Gangetic plain to the MCT zone is carried out
across the Garhwal Himalaya, India, which lies in the central seismic gap. The gravity …
across the Garhwal Himalaya, India, which lies in the central seismic gap. The gravity …
[Retracted] Precision Marketing and Brand Communication Model Using Particle Swarm Optimization Algorithm
T Xue, Q Hu - Mobile Information Systems, 2022 - Wiley Online Library
In order to deeply study the macroenvironment, current situation, and the core elements
affecting the operation of the product brand system, this paper further improves the product …
affecting the operation of the product brand system, this paper further improves the product …
Design of low-frequency broadband flextensional transducers based on combined particle swarm optimization and finite element method
J Zheng, S Li, B Wang - Smart Materials and Structures, 2021 - iopscience.iop.org
For designing underwater acoustic transducers, it is usually very difficult and time-
consuming to determine multiple parameters simultaneously. Therefore, a novel design …
consuming to determine multiple parameters simultaneously. Therefore, a novel design …
Bayesian estimation of parameters and uncertainty of a 3-D dipping fault using gravity anomalies
Y Li, S Chen, H Li, B Zhang - Geophysical Journal International, 2023 - academic.oup.com
Many significant geophysical anomalies are generated by fault systems, and effectively
estimating fault parameters is a key step to understand the characteristics of these field …
estimating fault parameters is a key step to understand the characteristics of these field …
[PDF][PDF] Source characterization of isolated gravity anomalies using gradient descent approach
M Parveen, CP Dubey, M Mishra - J. Ind. Geophys. Union, 2022 - researchgate.net
Structures associated with oil and gas exploration and mineralized bodies such as faults,
anticlines, synclines, etc. can be approximated by 2-dimensional geometries like a sphere …
anticlines, synclines, etc. can be approximated by 2-dimensional geometries like a sphere …
[HTML][HTML] The joint application of a metaheuristic algorithm and a Bayesian statistics approach for uncertainty and stability assessment of nonlinear magnetotelluric data
In this paper, we have developed three algorithms, namely hybrid weighted particle swarm
optimization (wPSO) with the gravitational search algorithm (GSA), known as wPSOGSA; …
optimization (wPSO) with the gravitational search algorithm (GSA), known as wPSOGSA; …
Estimation of Deep-Seated Faults Parameters from Gravity Data Using the Cuckoo Search Algorithm
Abstract Cuckoo Search Algorithm (CSA) is a nature-inspired metaheuristic optimization
algorithm. The optimization algorithm was inspired by the life story of a family of birds called …
algorithm. The optimization algorithm was inspired by the life story of a family of birds called …