A comprehensive survey of the Grasshopper optimization algorithm: results, variants, and applications

The grasshopper optimization algorithm is one of the dominant modern meta-heuristic optimization algorithms. It has been successfully applied to various optimization problems in several fields, including engineering design, wireless networking, machine learning, image processing, control of power sy...

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Vydané v:	Neural computing & applications Ročník 32; číslo 19; s. 15533 - 15556
Hlavní autori:	Abualigah, Laith, Diabat, Ali
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Springer London 01.10.2020
Predmet:	Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Image Processing and Computer Vision Probability and Statistics in Computer Science Review Bio-inspired algorithms Grasshopper optimization algorithm Meta-heuristic optimization algorithms Optimization problems
ISSN:	0941-0643, 1433-3058
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Abstract	The grasshopper optimization algorithm is one of the dominant modern meta-heuristic optimization algorithms. It has been successfully applied to various optimization problems in several fields, including engineering design, wireless networking, machine learning, image processing, control of power systems, and others. We survey the available literature on the grasshopper optimization algorithm, including its modifications, hybridizations, and generalization to the binary, chaotic, and multi-objective cases. We review its applications, evaluate the algorithms, and provide conclusions.
AbstractList	The grasshopper optimization algorithm is one of the dominant modern meta-heuristic optimization algorithms. It has been successfully applied to various optimization problems in several fields, including engineering design, wireless networking, machine learning, image processing, control of power systems, and others. We survey the available literature on the grasshopper optimization algorithm, including its modifications, hybridizations, and generalization to the binary, chaotic, and multi-objective cases. We review its applications, evaluate the algorithms, and provide conclusions.
Author	Abualigah, Laith Diabat, Ali
Author_xml	– sequence: 1 givenname: Laith orcidid: 0000-0002-2203-4549 surname: Abualigah fullname: Abualigah, Laith email: Laythdyabat@aau.edu.jo organization: Faculty of Computer Sciences and Informatics, Amman Arab University – sequence: 2 givenname: Ali surname: Diabat fullname: Diabat, Ali organization: Division of Engineering, New York University Abu Dhabi, Department of Civil and Urban Engineering, Tandon School of Engineering, New York University
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Snippet	The grasshopper optimization algorithm is one of the dominant modern meta-heuristic optimization algorithms. It has been successfully applied to various...
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SubjectTerms	Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Image Processing and Computer Vision Probability and Statistics in Computer Science Review
Title	A comprehensive survey of the Grasshopper optimization algorithm: results, variants, and applications
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