Recent advances in Grey Wolf Optimizer, its versions and applications

SN Makhadmeh, MA Al-Betar, IA Doush… - IEEE …, 2023 - ieeexplore.ieee.org
The Grey Wolf Optimizer (GWO) has emerged as one of the most captivating swarm
intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO's …

Intelligent fault diagnosis of train axle box bearing based on parameter optimization VMD and improved DBN

Z Jin, D He, Z Wei - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
The vibration signal of the axle box bearing of the train is affected by the track excitation and
the random noise of the environment. The vibration signal is nonlinear and non-stationary …

Image segmentation of Leaf Spot Diseases on Maize using multi-stage Cauchy-enabled grey wolf algorithm

H Yu, J Song, C Chen, AA Heidari, J Liu, H Chen… - … Applications of Artificial …, 2022 - Elsevier
Grey wolf optimizer (GWO) is a widespread metaphor-based algorithm based on the
enhanced variants of velocity-free particle swarm optimizer with proven defects and …

Dynamic economic emission dispatch considering renewable energy generation: A novel multi-objective optimization approach

ZF Liu, LL Li, YW Liu, JQ Liu, HY Li, Q Shen - Energy, 2021 - Elsevier
This study contributes to construct the mathematical model of hybrid dynamic economic
emission dispatch (HDEED) considering renewable energy generation and propose a novel …

[HTML][HTML] Economic load dispatch solution of large-scale power systems using an enhanced beluga whale optimizer

MH Hassan, S Kamel, F Jurado, M Ebeed… - Alexandria Engineering …, 2023 - Elsevier
The aim of the optimization economic load dispatch (ELD) problem is to assign the optimal
generated power of the thermal units for cost reduction with satisfying the loading of the …

Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators

OA Alomari, SN Makhadmeh, MA Al-Betar… - Knowledge-Based …, 2021 - Elsevier
DNA microarray technology is the fabrication of a single chip to contain a thousand genetic
codes. Each microarray experiment can analyze many thousands of genes in parallel. The …

Recent methodology-based gradient-based optimizer for economic load dispatch problem

S Deb, DS Abdelminaam, M Said, EH Houssein - IEEE Access, 2021 - ieeexplore.ieee.org
Economic load dispatch (ELD) in power system problems involves scheduling the power
generating units to minimize cost and satisfy system constraints. Although previous works …

A high-performance crisscross search based grey wolf optimizer for solving optimal power flow problem

A Meng, C Zeng, P Wang, D Chen, T Zhou, X Zheng… - Energy, 2021 - Elsevier
This paper formulates the optimal power flow (OPF) problem with the consideration of
minimizing many objective functions including the basic fuel cost, fuel cost with valve-point …

[HTML][HTML] A hybrid Harris Hawks optimizer for economic load dispatch problems

MA Al-Betar, MA Awadallah, SN Makhadmeh… - Alexandria Engineering …, 2023 - Elsevier
This paper proposes a hybridized version of the Harris Hawks Optimizer (HHO) with
adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems. ELD is an …

Boosting kernel search optimizer with slime mould foraging behavior for combined economic emission dispatch problems

R Dong, L Sun, L Ma, AA Heidari, X Zhou… - Journal of Bionic …, 2023 - Springer
Reducing pollutant emissions from electricity production in the power system positively
impacts the control of greenhouse gas emissions. Boosting kernel search optimizer (BKSO) …