Review of nature inspired metaheuristic algorithm selection for combinatorial t-way testing

AA Muazu, AS Hashim, A Sarlan - IEEE Access, 2022 - ieeexplore.ieee.org
The metaheuristic algorithm is a very important area of research that continuously improves
in solving optimization problems. Nature-inspired is one of the metaheuristic algorithm …

Epileptic seizure classification using level-crossing EEG sampling and ensemble of sub-problems classifier

SF Hussain, SM Qaisar - Expert Systems with Applications, 2022 - Elsevier
Epilepsy is a disorder of the brain characterized by seizures and requires constant
monitoring particularly in serious patients. Electroencephalogram (EEG) signals are …

Application of fast adaptive moth-flame optimization in flexible operation modeling for supercritical unit

G Hou, L Gong, B Hu, H Su, T Huang, C Huang, W Fan… - Energy, 2022 - Elsevier
As main measure to stabilize fluctuation of power grid under renewable energy utilization,
the flexible operation of thermal power unit reveals remarkable significant. To serve for peak …

Optimization of extreme learning machine model with biological heuristic algorithms to estimate daily reference crop evapotranspiration in different climatic regions of …

Z Wu, N Cui, X Hu, D Gong, Y Wang, Y Feng, S Jiang… - Journal of …, 2021 - Elsevier
Accurate prediction of reference crop evapotranspiration (ET 0) is important for regional
water resources management and optimal design of agricultural irrigation system. In this …

Unsupervised Learning-based Artificial Bee Colony for minimizing non-value-adding operations

CY Cheng, P Pourhejazy, KC Ying, CF Lin - Applied Soft Computing, 2021 - Elsevier
Advanced analytics benefits lean manufacturing by upgrading the scheduling problems into
operational strategic tools that help minimize non-value-adding activities. Considering …

PID controller parameter optimized by reformative artificial bee colony algorithm

H Du, P Liu, Q Cui, X Ma, H Wang - Journal of Mathematics, 2022 - Wiley Online Library
The PID parameters determine the PID controller performance. A reformative artificial bee
colony (RABC) algorithm is proposed for the PID parameter optimization problem. The …

An artificial bee colony algorithm with a balance strategy for wireless sensor network

S Zhu, CM Pun, H Zhu, S Li, X Huang, H Gao - Applied Soft Computing, 2023 - Elsevier
As a popular population based evolutionary computation algorithm, artificial bee colony
(ABC) algorithms have attracted many researchers to do further works. In this paper, by …

Optimization configuration of gas path sensors using a hybrid method based on tabu search artificial bee colony and improved genetic algorithm in turbofan engine

Y Hu, Z Sun, L Cao, Y Zhang, P Pan - Aerospace Science and Technology, 2021 - Elsevier
The gas turbine engine is usually working in extreme engine conditions, especially the
components along the gas path are bearing the harsh environments, such as high …

Robust weighted co-clustering with global and local discrimination

Z Lu, S Wang, G Liu, F Nie - Pattern Recognition, 2023 - Elsevier
In the past few decades, the clustering problem has made considerable progress, and co-
clustering algorithms have attracted more attention. Compared with one-side clustering, co …

Clustering uncertain graphs using ant colony optimization (ACO)

SF Hussain, IA Butt, M Hanif, S Anwar - Neural Computing and …, 2022 - Springer
In deterministic graphs, an edge between two vertices denotes a certain link. In contrast, in
probabilistic graph, a link between two vertices merely implies the possibility of its existence …