Paper Info
Title
A comprehensive survey of the Grasshopper optimization algorithm: results, variants, and applications
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.
Year
DOI
Venue
2020
10.1007/s00521-020-04789-8
NEURAL COMPUTING & APPLICATIONS
Keywords
DocType
Volume
Grasshopper optimization algorithm,Meta-heuristic optimization algorithms,Optimization problems,Bio-inspired algorithms
Journal
32.0
Issue
ISSN
Citations 
SP19
0941-0643
7
PageRank 
References 
Authors
0.41
0
2
Name
Order
Citations
PageRank
Laith Mohammad Abualigah124411.47
Ali Diabat270.75