A hybrid LSTM-GRU framework for lung cancer classification using GWO-WOA algorithm for hyperparameter tuning and BPSO for feature selection. [PDF]
Amrir MMS +3 more
europepmc +1 more source
Intelligent energy management of coordinated community microgrid systems using metaheuristic optimization and deep learning. [PDF]
Mathur D, Kanwar N, Goyal SK.
europepmc +1 more source
An improved grey wolf optimization-based MPPT algorithm for photovoltaic systems under partial shading conditions. [PDF]
Celikel R, Aydogmus O, Yilmaz M.
europepmc +1 more source
SHAP enhanced transformer GWO boosting model for transparent and robust anomaly detection in IIoT environments. [PDF]
Aly M, Alotaibi NM.
europepmc +1 more source
Optimization of ultra-low volume spray for multi-drone based on wind sensitivity. [PDF]
Zheng D, Wang B, Lin Y, Shi W, Liu P.
europepmc +1 more source
HED-ID: an edge-deployable and explainable intrusion detection system optimized via metaheuristic learning. [PDF]
Nasir K +7 more
europepmc +1 more source
Predictive control of earth pressure balance in shield tunneling using a hybrid learning approach. [PDF]
Wang Q, Zhang Y, Wei D, Meng J.
europepmc +1 more source
Research on the Optimization of Uncertain Multi-Stage Production Integrated Decisions Based on an Improved Grey Wolf Optimizer. [PDF]
Gan W, Zhou X, Wu W, Xu CA.
europepmc +1 more source
In this paper, two novel meta-heuristic algorithms are introduced to solve global optimization problems inspired by the Grey Wolf Optimizer (GWO) algorithm. In the GWO algorithm, wolves are likely to be located in regions close to each other. Therefore, as they catch the hunt (approaching the solution), they may create an intensity in the same or ...
Amir Seyyedabbasi +2 more
exaly +5 more sources

