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 …

A Tuned classification approach for efficient heterogeneous fault diagnosis in IoT-enabled WSN applications

S Lavanya, A Prasanth, S Jayachitra, A Shenbagarajan - Measurement, 2021 - Elsevier
The advancement of the Internet of Things (IoT) technologies will play a significant role in
the growth of smart cities and industrial applications. Wireless Sensor Network (WSN) is one …

[HTML][HTML] Review of bio-inspired optimization applications in renewable-powered smart grids: Emerging population-based metaheuristics

CB Pop, T Cioara, I Anghel, M Antal, VR Chifu, C Antal… - Energy Reports, 2022 - Elsevier
The management of renewable-powered smart grids deals with nonlinear optimization
problems featuring a variety of linear or nonlinear constraints, discrete or continuous …

Border collie optimization

T Dutta, S Bhattacharyya, S Dey, J Platos - IEEE access, 2020 - ieeexplore.ieee.org
In recent times, several metaheuristic algorithms have been proposed for solving real world
optimization problems. In this paper, a new metaheuristic algorithm, called the Border Collie …

Optimizing time, cost, and carbon in construction: grasshopper algorithm empowered with tournament selection and opposition-based learning

VHS Pham, P Vo Duy, NT Nguyen Dang - Scientific Reports, 2023 - nature.com
The global construction industry plays a pivotal role, yet its unique characteristics pose
distinctive challenges. Each construction project, marked by its individuality, substantial …

Novel variants of grasshopper optimization algorithm to solve numerical problems and demand side management in smart grids

AA Badr, MM Saafan, MM Abdelsalam… - Artificial intelligence …, 2023 - Springer
The grasshopper optimization algorithm (GOA), which is one of the recent metaheuristic
optimization algorithms, mimics the natural movements of grasshoppers in swarms seeking …

Grasshopper optimization algorithm with crossover operators for feature selection and solving engineering problems

AA Ewees, MA Gaheen, ZM Yaseen… - Ieee …, 2022 - ieeexplore.ieee.org
Feature selection (FS) is an irreplaceable phase that makes data mining more efficient. It
effectively enhances the implementation and decreases the computational problem of …

Hybrid henry gas solubility optimization algorithm based on the harris hawk optimization

W Xie, C Xing, J Wang, S Guo, MW Guo, LF Zhu - Ieee Access, 2020 - ieeexplore.ieee.org
Henry Gas Solubility Optimization Algorithm (HGSO) is a physical-based algorithm based on
Henry's Law and simulates the process that the solubility of gas in liquid changes with …

The improved grasshopper optimization algorithm with Cauchy mutation strategy and random weight operator for solving optimization problems

L Wu, J Wu, T Wang - Evolutionary Intelligence, 2024 - Springer
An improved grasshopper optimization algorithm (GOA) is proposed in this paper, termed
CMRWGOA, which combines both Random Weight (shorted RWGOA) and Cauchy mutation …

Damage detection in frame elements using Grasshopper Optimization Algorithm (GOA) and time-domain responses of the structure

S Nabavi, S Gholampour, MS Haji - Evolving Systems, 2022 - Springer
Identifying the place and dimensions of damage is among the most important ways to
maintain the structure. It is possible to identify damage in structure by different damage …