Salp swarm algorithm: a comprehensive survey
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 …
called salp swarm algorithm (SSA) and discussions its main characteristics. SSA is one of …
Moth–flame optimization algorithm: variants and applications
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 …
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
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 …
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 …
settling time, and overshoot is the main challenge against the steering angle control of …
Harris hawks optimization algorithm: variants and applications
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 …
algorithm so-called Harris hawks optimization (HHO) and analyzes its major features. HHO …
A comprehensive review of bat inspired algorithm: Variants, applications, and hybridization
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 …
dealing with various optimization problems in diverse fields, such as power and energy …
Gradient-based optimizer (gbo): a review, theory, variants, and applications
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 …
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
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 …
several conductors on poles. Power system stability analysis and state estimates need a …
Hybridizing cuckoo search algorithm with bat algorithm for global numerical optimization
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 …
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 …
capacitance, and resistance. These parameters are important during the transmission line …