Salp swarm algorithm: a comprehensive survey

L Abualigah, M Shehab, M Alshinwan… - Neural Computing and …, 2020 - Springer
This paper completely introduces an exhaustive and a comprehensive review of the so-
called salp swarm algorithm (SSA) and discussions its main characteristics. SSA is one of …

Moth–flame optimization algorithm: variants and applications

M Shehab, L Abualigah, H Al Hamad, H Alabool… - Neural Computing and …, 2020 - Springer
This paper thoroughly presents a comprehensive review of the so-called moth–flame
optimization (MFO) and analyzes its main characteristics. MFO is considered one of the …

[HTML][HTML] Optimal sizing of smart hybrid renewable energy system using different optimization algorithms

FS Mahmoud, AAZ Diab, ZM Ali, AHM El-Sayed… - Energy Reports, 2022 - Elsevier
Hybrid renewable energy (HRE) sources have become a popular alternative in isolated and
rural locations; because of the increased prices of fossil fuels and their CO2 emissions. This …

Improved grey wolf optimizer based on opposition and quasi learning approaches for optimization: case study autonomous vehicle including vision system

M Elsisi - Artificial intelligence review, 2022 - Springer
The adapting of lateral deviation during the change of road curvature with less error, system
settling time, and overshoot is the main challenge against the steering angle control of …

Harris hawks optimization algorithm: variants and applications

M Shehab, I Mashal, Z Momani, MKY Shambour… - … Methods in Engineering, 2022 - Springer
This paper introduces a comprehensive survey of a new swarm intelligence optimization
algorithm so-called Harris hawks optimization (HHO) and analyzes its major features. HHO …

A comprehensive review of bat inspired algorithm: Variants, applications, and hybridization

M Shehab, MA Abu-Hashem, MKY Shambour… - … Methods in Engineering, 2023 - Springer
Bat algorithm (BA) is one of the promising metaheuristic algorithms. It proved its efficiency in
dealing with various optimization problems in diverse fields, such as power and energy …

Gradient-based optimizer (gbo): a review, theory, variants, and applications

MS Daoud, M Shehab, HM Al-Mimi, L Abualigah… - … Methods in Engineering, 2023 - Springer
This paper introduces a comprehensive survey of a new population-based algorithm so-
called gradient-based optimizer (GBO) and analyzes its major features. GBO considers as …

Optimal parameter estimation of 1-phase and 3-phase transmission line for various bundle conductor's using modified whale optimization algorithm

MS Shaikh, C Hua, S Raj, S Kumar, M Hassan… - International Journal of …, 2022 - Elsevier
The overhead power line transmits and distributes electricity across large regions it has
several conductors on poles. Power system stability analysis and state estimates need a …

Hybridizing cuckoo search algorithm with bat algorithm for global numerical optimization

M Shehab, AT Khader, M Laouchedi… - The Journal of …, 2019 - Springer
The cuckoo search algorithm (CSA) is a promising metaheuristic algorithm for solving
numerous problems in different fields. It adopts the Levy flight to guide the search process …

Application of grey wolf optimisation algorithm in parameter calculation of overhead transmission line system

MS Shaikh, C Hua, MA Jatoi… - IET Science …, 2021 - Wiley Online Library
The transmission line is the main component in the power system consisting of inductance,
capacitance, and resistance. These parameters are important during the transmission line …