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Grasshopper Optimization Algorithm: Theory, Variants, and Applications
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DOI：10.1109/ACCESS.2021.3067597.png)
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摘要
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Grasshopper Optimization Algorithm (GOA) is a recent swarm intelligence algorithm inspired by the foraging and swarming behavior of grasshoppers in nature. The GOA algorithm has been successfully applied to solve various optimization problems in several domains and demonstrated its merits in the literature. This paper proposes a comprehensive review of GOA based on more than 120 scientific articles published by leading publishers: IEEE, Springer, Elsevier, IET, Hindawi, and others. It provides the GOA variants, including multi-objective and hybrid variants. It also discusses the main applications of GOA in various fields such as scheduling, economic dispatch, feature selection, load frequency control, distributed generation, wind energy system, and other engineering problems. Finally, the paper provides some possible future research directions in this area.
Keyword:
Optimization
Particle swarm optimization
Genetic algorithms
Licenses
MIMICs
Education
Economics
Grasshopper optimization algorithm
GOA
meta-heuristics
optimization
population-based algorithm
swarm intelligence
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
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