Research Article
Using Grasshopper Optimization in Big Data
@INPROCEEDINGS{10.1007/978-3-031-33614-0_9, author={Asmaa G. Khalf and Kareem Kamal A. Ghany}, title={Using Grasshopper Optimization in Big Data}, proceedings={Big Data Technologies and Applications. 11th and 12th EAI International Conference, BDTA 2021 and BDTA 2022, Virtual Event, December 2021 and 2022, Proceedings}, proceedings_a={BDTA}, year={2023}, month={5}, keywords={Grasshopper Optimization Data Mining Meta-heuristic Optimization}, doi={10.1007/978-3-031-33614-0_9} }- Asmaa G. Khalf
Kareem Kamal A. Ghany
Year: 2023
Using Grasshopper Optimization in Big Data
BDTA
Springer
DOI: 10.1007/978-3-031-33614-0_9
Abstract
From algorithms that have been popular and presently used in meta-heuristic is the grasshopper optimization method, which has made many theoretical breakthroughs and is widely applied in numerous optimization issues across different fields such as image processing, machine learning, engineering design, control over wireless networking, power systems, and other things. In this study, we review the literature that is currently accessible on the grasshopper optimization technique and its extensions to the chaotic, binary, multi-objective scenarios and hybrid. Finally, the grasshopper optimization algorithm has proven superior to other optimization algorithms in most literature.
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