Crow search algorithm: theory, recent advances, and applications

AG Hussien, M Amin, M Wang, G Liang… - IEEE …, 2020 - ieeexplore.ieee.org
In this article, a comprehensive overview of the Crow Search Algorithm (CSA) is introduced
with detailed discussions, which is intended to keep researchers interested in swarm …

Energy management system in microgrids: A comprehensive review

Y Zahraoui, I Alhamrouni, S Mekhilef, MR Basir Khan… - Sustainability, 2021 - mdpi.com
As promising solutions to various social and environmental issues, the generation and
integration of renewable energy (RE) into microgrids (MGs) has recently increased due to …

Recent methodology-based gradient-based optimizer for economic load dispatch problem

S Deb, DS Abdelminaam, M Said, EH Houssein - IEEE Access, 2021 - ieeexplore.ieee.org
Economic load dispatch (ELD) in power system problems involves scheduling the power
generating units to minimize cost and satisfy system constraints. Although previous works …

A comprehensive survey of Crow Search Algorithm and its applications

Y Meraihi, AB Gabis, A Ramdane-Cherif… - Artificial Intelligence …, 2021 - Springer
Abstract Crow Search Algorithm (CSA) is a recent swarm intelligence optimization algorithm
inspired by the social intelligent behavior of crows for hiding food. It has been widely used to …

[HTML][HTML] A hybrid Harris Hawks optimizer for economic load dispatch problems

MA Al-Betar, MA Awadallah, SN Makhadmeh… - Alexandria Engineering …, 2023 - Elsevier
This paper proposes a hybridized version of the Harris Hawks Optimizer (HHO) with
adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems. ELD is an …

An evolutionary crow search algorithm equipped with interactive memory mechanism to optimize artificial neural network for disease diagnosis

H Zamani, MH Nadimi-Shahraki - Biomedical Signal Processing and …, 2024 - Elsevier
Artificial neural network (ANN) is an information processing paradigm that loosely models
the thinking patterns of the human brain with specifications such as real-time learning, self …

[HTML][HTML] A developed eagle-strategy supply-demand optimizer for solving economic load dispatch problems

MH Hassan, S Kamel, A Eid, L Nasrat, F Jurado… - Ain Shams Engineering …, 2023 - Elsevier
This article proposes a new effective technique, named eagle-strategy supply–demand
based optimization algorithm with chaotic (ESCSDO), for achieving global solutions to …

[HTML][HTML] Manta ray foraging optimization algorithm with mathematical spiral foraging strategies for solving economic load dispatching problems in power systems

XY Zhang, WK Hao, JS Wang, JH Zhu, XR Zhao… - Alexandria Engineering …, 2023 - Elsevier
Abstract Economic Load Dispatch (ELD) is an effective dispatch strategy to improve
economic efficiency while ensuring the safety and stability of the power system. It minimizes …

Development and applications of an intelligent crow search algorithm based on opposition based learning

S Shekhawat, A Saxena - ISA transactions, 2020 - Elsevier
Metaheuristics are proven beneficial tools for solving complex, hard optimization problems.
Recently, a plethora of work has been reported on bio inspired optimization algorithms …

Memory based hybrid crow search algorithm for solving numerical and constrained global optimization problems

M Braik, H Al-Zoubi, M Ryalat, A Sheta… - Artificial Intelligence …, 2023 - Springer
Abstract Crow Search Algorithm (CSA) is a promising meta-heuristic method developed
based on the intelligent conduct of crows in nature. This algorithm lacks a good …