Grasshopper Optimization Algorithm: Theory, Variants, and Applications
نویسندگان
چکیده
Grasshopper Optimization Algorithm (GOA) is a recent swarm intelligence algorithm inspired by the foraging and swarming behavior of grasshoppers in nature. The GOA has been successfully applied to solve various optimization problems several domains demonstrated its merits literature. This paper proposes comprehensive review based on more than 120 scientific articles published leading publishers: IEEE, Springer, Elsevier, IET, Hindawi, others. It provides variants, including multi-objective hybrid variants. also discusses main applications fields such as scheduling, economic dispatch, feature selection, load frequency control, distributed generation, wind energy system, other engineering problems. Finally, some possible future research directions this area.
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2021
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2021.3067597