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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Veröffentlicht in:	Neural computing & applications Jg. 32; H. 19; S. 15533 - 15556
Hauptverfasser:	Abualigah, Laith, Diabat, Ali
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.10.2020
Schlagworte:	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
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	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.
ISSN:	0941-0643 1433-3058
DOI:	10.1007/s00521-020-04789-8