A comprehensive survey on gravitational search algorithm

E Rashedi, E Rashedi, H Nezamabadi-Pour - Swarm and evolutionary …, 2018 - Elsevier
Abstract Gravitational Search Algorithm (GSA) is an optimization method inspired by the
theory of Newtonian gravity in physics. Till now, many variants of GSA have been …

An overview of Gravitational Search Algorithm utilization in optimization problems

NM Sabri, M Puteh… - 2013 IEEE 3rd International …, 2013 - ieeexplore.ieee.org
Gravitational Search Algorithm (GSA) is one of the recent nature inspired algorithms which is
capable to solve optimization problems. GSA is inspired by the Newtonian's law of gravity …

Heat transfer search (HTS): a novel optimization algorithm

VK Patel, VJ Savsani - Information sciences, 2015 - Elsevier
In this paper, a new metaheuristic optimization algorithm based on the law of
thermodynamics and heat transfer is introduced. In the proposed algorithm, the search …

[HTML][HTML] An explainable artificial-intelligence-aided safety factor prediction of road embankments

A Abdollahi, D Li, J Deng, A Amini - Engineering Applications of Artificial …, 2024 - Elsevier
Despite the widespread application of data-centric techniques in Geotechnical Engineering,
there is a rising need for building trust in the artificial intelligence (AI)-driven safety …

A new metaheuristic algorithm based on shark smell optimization

O Abedinia, N Amjady, A Ghasemi - Complexity, 2016 - Wiley Online Library
In this article, a new metaheuristic optimization algorithm is introduced. This algorithm is
based on the ability of shark, as a superior hunter in the nature, for finding prey, which is …

Gravitational search algorithm: a comprehensive analysis of recent variants

H Mittal, A Tripathi, AC Pandey, R Pal - Multimedia Tools and Applications, 2021 - Springer
Gravitational search algorithm is a nature-inspired algorithm based on the mathematical
modelling of the Newton's law of gravity and motion. In a decade, researchers have …

An optimization algorithm inspired by the States of Matter that improves the balance between exploration and exploitation

E Cuevas, A Echavarría, MA Ramírez-Ortegón - Applied intelligence, 2014 - Springer
The ability of an Evolutionary Algorithm (EA) to find a global optimal solution depends on its
capacity to find a good rate between exploitation of found-so-far elements and exploration of …

Design of a fractional-order PID controller for a pumped storage unit using a gravitational search algorithm based on the Cauchy and Gaussian mutation

C Li, N Zhang, X Lai, J Zhou, Y Xu - Information Sciences, 2017 - Elsevier
A pumped storage unit (PSU) is more difficult to control compared to a conventional
hydropower generation unit due to the frequent switching of working conditions and the S …

Prediction of safety factors for slope stability: comparison of machine learning techniques

A Mahmoodzadeh, M Mohammadi, H Farid Hama Ali… - Natural Hazards, 2022 - Springer
Because of the disasters associated with slope failure, the analysis and forecasting of slope
stability for geotechnical engineers are crucial. In this work, in order to forecast the factor of …

An effective artificial intelligence approach for slope stability evaluation

M Khajehzadeh, MR Taha, S Keawsawasvong… - Ieee …, 2022 - ieeexplore.ieee.org
In this study, an effective intelligent system based on artificial neural networks (ANN) and a
new version of the sine cosine algorithm (SCA) is developed to evaluate and predict the …