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A Variable Step Crow Search Algorithm and Its Application in Function Problems [PDF]

open access: yesBiomimetics, 2023
Optimization algorithms are popular to solve different problems in many fields, and are inspired by natural principles, animal living habits, plant pollinations, chemistry principles, and physic principles.
Yuqi Fan   +4 more
doaj   +2 more sources

A Novel Topology Optimization Protocol Based on an Improved Crow Search Algorithm for the Perception Layer of the Internet of Things [PDF]

open access: yesBiomimetics, 2023
In wireless sensor networks, each sensor node has a finite amount of energy to expend. The clustering method is an efficient way to deal with the imbalance in node energy consumption.
Yang Bai   +4 more
doaj   +2 more sources

A Novel Crow Swarm Optimization Algorithm (CSO) Coupling Particle Swarm Optimization (PSO) and Crow Search Algorithm (CSA). [PDF]

open access: yesComput Intell Neurosci, 2021
The balance between exploitation and exploration essentially determines the performance of a population‐based optimization algorithm, which is also a big challenge in algorithm design. Particle swarm optimization (PSO) has strong ability in exploitation, but is relatively weak in exploration, while crow search algorithm (CSA) is characterized by ...
Jia YH, Qiu J, Ma ZZ, Li FF.
europepmc   +3 more sources

Crow Search Algorithm: Theory, Recent Advances, and Applications [PDF]

open access: yesIEEE Access, 2020
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 intelligence algorithms and optimization problems.
Abdelazim G. Hussien   +6 more
doaj   +2 more sources

Enhanced crow search algorithm with multi-stage search integration for global optimization problems. [PDF]

open access: yesSoft comput, 2023
Crow search algorithm (CSA), as a new swarm intelligence algorithm that simulates the crows' behaviors of hiding and tracking food in nature, performs well in solving many optimization problems. However, while handling complex and high-dimensional global optimization problems, CSA is apt to fall into evolutionary stagnation and has slow convergence ...
He J   +5 more
europepmc   +3 more sources

Optimal power scheduling in real-time distribution systems using crow search algorithm for enhanced microgrid performance [PDF]

open access: yesScientific Reports
Microgrids (MGs) have gained significant attention over the past two decades due to their advantages in service reliability, easy integration of renewable energy sources, high efficiency, and enhanced power quality.
Ganesh Selvaraj   +4 more
doaj   +2 more sources

Improving binary crow search algorithm for feature selection

open access: yesJournal of Intelligent Systems, 2023
The feature selection (FS) process has an essential effect in solving many problems such as prediction, regression, and classification to get the optimal solution.
Hamed Alnaish Zakaria A.   +1 more
doaj   +2 more sources

Development of crow search algorithm using the characteristics of qubits and application of engineering problems [PDF]

open access: yesScientific Reports
Recently, researchers have attempted to develop a new algorithm by combining quantum systems and metaheuristics algorithms and are confirming its applicability in engineering optimization problems.
Donwoo Lee, Seungjae Lee
doaj   +2 more sources

A multi-strategy improved crow search algorithm for multi-level thresholding image segmentation [PDF]

open access: yesScientific Reports
The standard crow search algorithm suffers from low convergence accuracy, insufficient stability, and susceptibility to getting stuck in local optima. To tackle these formidable challenges, this paper proposes a novel multi-strategy improved crow search ...
Xiaoping Zhang   +2 more
doaj   +2 more sources

An Improved Crow Search Algorithm for Data Clustering

open access: yesEmitter: International Journal of Engineering Technology, 2020
Metaheuristic algorithms are often trapped in local optimum solutions when searching for solutions. This problem often occurs in optimization cases involving high dimensions such as data clustering.
Vivi Nur Wijayaningrum   +1 more
doaj   +3 more sources

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