Orthogonally-designed adapted grasshopper optimization: a comprehensive analysis
Grasshopper optimization algorithm (GOA) is a newly proposed meta-heuristic algorithm that
simulates the biological habits of grasshopper seeking for food sources. Nonetheless, some …
simulates the biological habits of grasshopper seeking for food sources. Nonetheless, some …
Enhanced Gaussian bare-bones grasshopper optimization: mitigating the performance concerns for feature selection
As a recent meta-heuristic algorithm, the uniqueness of the grasshopper optimization
algorithm (GOA) is to imitate the biological features of grasshoppers for single-objective …
algorithm (GOA) is to imitate the biological features of grasshoppers for single-objective …
Chaotic arc adaptive grasshopper optimization
G Wang, AA Heidari, M Wang, F Kuang, W Zhu… - Ieee …, 2021 - ieeexplore.ieee.org
The grasshopper optimization algorithm (GOA) has become one of the most widely used
methods, regardless of its shortcomings in its performance and algorithm design. To further …
methods, regardless of its shortcomings in its performance and algorithm design. To further …
An enhanced Cauchy mutation grasshopper optimization with trigonometric substitution: engineering design and feature selection
S Zhao, P Wang, AA Heidari, X Zhao, C Ma… - Engineering with …, 2022 - Springer
Selecting a subset of important features from a high-dimensional dataset is an important
prerequisite for data mining. Meta-heuristic algorithms have gained attention in this field in …
prerequisite for data mining. Meta-heuristic algorithms have gained attention in this field in …
Chaotic grasshopper optimization algorithm for global optimization
S Arora, P Anand - Neural Computing and Applications, 2019 - Springer
Grasshopper optimization algorithm (GOA) is a new meta-heuristic algorithm inspired by the
swarming behavior of grasshoppers. The present study introduces chaos theory into the …
swarming behavior of grasshoppers. The present study introduces chaos theory into the …
Grasshopper optimization algorithm with crossover operators for feature selection and solving engineering problems
Feature selection (FS) is an irreplaceable phase that makes data mining more efficient. It
effectively enhances the implementation and decreases the computational problem of …
effectively enhances the implementation and decreases the computational problem of …
SGOA: annealing-behaved grasshopper optimizer for global tasks
An improved grasshopper optimization algorithm (GOA) is proposed in this paper, termed as
SGOA, which combines simulated annealing (SA) mechanism with the original GOA that is a …
SGOA, which combines simulated annealing (SA) mechanism with the original GOA that is a …
Grasshopper optimization algorithm: theory, variants, and applications
Y Meraihi, AB Gabis, S Mirjalili… - Ieee …, 2021 - ieeexplore.ieee.org
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 …
by the foraging and swarming behavior of grasshoppers in nature. The GOA algorithm has …
[HTML][HTML] The improved grasshopper optimization algorithm and its applications
P Qin, H Hu, Z Yang - Scientific Reports, 2021 - nature.com
Grasshopper optimization algorithm (GOA) proposed in 2017 mimics the behavior of
grasshopper swarms in nature for solving optimization problems. In the basic GOA, the …
grasshopper swarms in nature for solving optimization problems. In the basic GOA, the …
A comprehensive survey of the Grasshopper optimization algorithm: results, variants, and applications
L Abualigah, A Diabat - Neural Computing and Applications, 2020 - Springer
The grasshopper optimization algorithm is one of the dominant modern meta-heuristic
optimization algorithms. It has been successfully applied to various optimization problems in …
optimization algorithms. It has been successfully applied to various optimization problems in …