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Enhanced Crow Search Algorithm for Feature Selection

Expert Systems with Applications, 2020
Abstract The crow search algorithm (CSA) is a recent metaheuristic inspired by the intelligent group behavior of crows. It has attracted the attention of many researchers because of its simplicity and easy implementation. However, it suffers from premature convergence because of its ability to balance between exploration and exploitation is weak ...
Salima Ouadfel, Mohamed Abd Elaziz
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Chaotic crow search algorithm for fractional optimization problems

Applied Soft Computing, 2018
This paper presents a chaotic crow search algorithm (CCSA) for solving fractional optimization problems(FOPs). To refine the global convergence speed and enhance the exploration/exploitation tendencies, the proposed CCSA integrates chaos theory (CT) into the CSA.
Rizk M. Rizk-Allah   +2 more
openaire   +3 more sources

Sine–cosine crow search algorithm: theory and applications

Neural Computing and Applications, 2019
In this paper, we propose a new hybrid algorithm called sine–cosine crow search algorithm that inherits advantages of two recently developed algorithms, including crow search algorithm (CSA) and sine–cosine algorithm (SCA). The exploration and exploitation capabilities of the proposed algorithm have significantly improved.
Soheyl Khalilpourazari   +1 more
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Feature selection via a novel chaotic crow search algorithm

Neural Computing and Applications, 2017
Crow search algorithm (CSA) is a new natural inspired algorithm proposed by Askarzadeh in 2016. The main inspiration of CSA came from crow search mechanism for hiding their food. Like most of the optimization algorithms, CSA suffers from low convergence rate and entrapment in local optima. In this paper, a novel meta-heuristic optimizer, namely chaotic
Gehad Ismail Sayed   +2 more
openaire   +3 more sources

Novel optimized crow search algorithm for feature selection

Expert Systems with Applications, 2022
Behrouz Samieiyan   +4 more
openaire   +3 more sources

Crow Search Algorithm: A Systematic Review

2022
Cognitive computing and Artificial Intelligence (AI) are Computer Science branches which aim to create machines and ingenious technologies that are capable of working and thinking like humans. Evolutionary computing is a subfield of AI that uses nature-inspired mechanisms (algorithms) and solves problems through processes that mimic the behavior of ...
Ali Aloss, Barnali Sahu, Om Prakash Jena
openaire   +1 more source

Enhanced crow search algorithm for AVR optimization

Soft Computing, 2020
This paper proposes an enhanced crow search algorithm (ECSA) for solving numerical and real-life engineering problems. Novelties of the proposed method are fourfold: (1) addition of an archive component in the standard crow search algorithm (CSA) to incorporate past experience of finding solution (2) formulation of non-hideout position so that crow ...
Amrit Kaur Bhullar   +2 more
openaire   +1 more source

PSO-based group-oriented crow search algorithm (PGCSA)

Engineering Computations, 2020
Purpose The purpose of this paper is to modify the crow search algorithm (CSA) to enhance both exploration and exploitation capability by including two novel approaches. The positions of the crows are updated in two approaches based on awareness probability (AP).
Sudeepa Das   +2 more
openaire   +1 more source

Crow Search Algorithm for Continuous Optimization Tasks

2019 6th International Conference on Control, Decision and Information Technologies (CoDIT), 2019
The paper provides an insight into the novel meta-heuristic of the Crow Search Algorithm (CSA) as used for continuous optimization tasks. The presented procedure is inspired by the social behaviour of crows. Based on established CEC 2017 benchmark tasks instances, the paper concentrates on performed experimental parameter studies and on a comparison ...
Piotr A. Kowalski   +2 more
openaire   +1 more source

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