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A space transformational crow search algorithm for optimization problems
Evolutionary Intelligence, 2019New and efficient meta-heuristic algorithms are always in demand to solve real world optimization problems due to its exploiting capability in the search domain to generate the global optimal solution. Crow search algorithm (CSA) is one of the latest meta-heuristic algorithms introduced in the literature to solve optimization tasks.
Santosh Kumar Majhi +2 more
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Optimal Coordination of Overcurrent Relay Using Crow Search Algorithm
Smart Science, 2019ABSTRACTThis paper proposed a novel optimization technique derived from the crow search algorithm (CSA) for overcurrent (OC) relay coordination in mesh distribution networks.
Dipu Sarkar +2 more
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Global Best Guided Crow Search Algorithm for Optimization Problems
2020Crow search algorithm (CSA) is a nature-inspired metaheuristic algorithm that is emboldened by the social activity of intelligent bird. Crow preserves their surplus food from other crows which gives information regarding local search and limits to the solution in search space.
Ritika Roy +3 more
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Kapur’s entropy based optimal multilevel image segmentation using Crow Search Algorithm
Applied Soft Computing, 2020Abstract Image segmentation is an essential part of image analysis, which has a direct impact on the quality of image analysis results. Thresholding is one of the simplest and widely used methods for image segmentation. Thresholding can be either bi-level, which involves partitioning of an image into two segments, or multilevel, which partitions an ...
Pankaj Upadhyay, Jitender Kumar Chhabra
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Evaluation of Crow Search Algorithm (CSA) for Optimization in Discrete Applications
2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI), 2019The optimization algorithms are heuristic and metaheuristic. Heuristic algorithms discover the solution by using the trial and error method. On the other hand metaheuristic algorithms find the solution at higher level. There are many nature based metaheuristic algorithms are available.
Suvarna Shirke, R. Udayakumar
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Spinal cord segmentation and injury detection using a Crow Search-Rider optimization algorithm
Biomedical Engineering / Biomedizinische Technik, 2020Abstract The damage in the spinal cord due to vertebral fractures may result in loss of sensation and muscle function either permanently or temporarily. The neurological condition of the patient can be improved only with the early detection and the treatment of the injury in the spinal cord. This paper proposes a spinal cord segmentation
Munavar, Jasim, Thomas, Brindha
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2022
© 2022, Springer Nature Switzerland AG.Crow search algorithm (CSA) mainly solves optimization problems. In high-dimensional optimization problems, CSA searches with moves toward the wrong crows’ hiding position. Solving the problems of the CSA algorithm, this paper proposes an improved CSA with Grey Wolf Optimization (GWO) algorithms is called ICSAGWO ...
Abudayor, Artee +1 more
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© 2022, Springer Nature Switzerland AG.Crow search algorithm (CSA) mainly solves optimization problems. In high-dimensional optimization problems, CSA searches with moves toward the wrong crows’ hiding position. Solving the problems of the CSA algorithm, this paper proposes an improved CSA with Grey Wolf Optimization (GWO) algorithms is called ICSAGWO ...
Abudayor, Artee +1 more
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Optimization of benchmark functions and practical problems using Crow Search Algorithm
2016 Fifth International Conference on Eco-friendly Computing and Communication Systems (ICECCS), 2016Researchers are increasingly looking towards natural phenomenon to search answers for complex real-world problems. This paper demonstrates how the intelligent behavior of crows can be utilized for getting an optimized output for complex engineering problems. The Crow Search Algorithm (CrSA) is a population based nature inspired meta-heuristic algorithm
Swati Rajput +3 more
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A modified crow search algorithm with niching technique for numerical optimization
2019 IEEE Student Conference on Research and Development (SCOReD), 2019This paper proposes a modified crow search algorithm with local search and niching technique. The primitive crow search algorithm is a newly developed population-based algorithm which gained attention from the researchers of many fields as it needs only one parameter to be tuned.
Jahedul Islam +3 more
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MOCSA: A Multi-Objective Crow Search Algorithm for Multi-Objective optimization
2017 2nd Conference on Swarm Intelligence and Evolutionary Computation (CSIEC), 2017In this paper, an extension of the recently developed Crow Search Algorithm (CSA) to multi-objective optimization problems is presented. The proposed algorithm, called Multi-Objective Crow Search Algorithm (MOCSA), defines the fitness function using a set of determined weight vectors, employing the max-min strategy.
Hadi Nobahari, Ariyan Bighashdel
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