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HED-ID: an edge-deployable and explainable intrusion detection system optimized via metaheuristic learning. [PDF]

Sci Rep
Nasir K, Badri SK, Alghazzawi DM, Alghamdi MY, Alkhozae M, Almakky A, Alhazmi RM, Asghar MZ.   +7 more
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Real-time dynamic prediction of HFMD transmission using SEIRQ-ARIMA hybrid model optimized by multi-stage ABC-GWO algorithm. [PDF]

Sci Rep
Zeng Z, Sathasivam S, Xin J, Zhao H.
europepmc   +1 more source

GVMD-NLM: A Hybrid Denoising Method for GNSS Buoy Elevation Time Series Using Optimized VMD and Non-Local Means Filtering. [PDF]

Sensors (Basel)
Zhang H, Wang S, Dong C, Xu G, Cai X.
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Research on the Optimization of Uncertain Multi-Stage Production Integrated Decisions Based on an Improved Grey Wolf Optimizer. [PDF]

Biomimetics (Basel)
Gan W, Zhou X, Wu W, Xu CA.
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Corrigendum to "Improving photovoltaic cell parameter calculations through a puffer fish inspired optimization technique" [Heliyon Volume 10, Issue 13, July 2024, Article e33952]. [PDF]

Heliyon
Singla MK, Gupta J, Parag N, Ekta T, Tella TG, Mosaad MI, Murodbek S.   +6 more
europepmc   +1 more source

Design of modified fractional-order PID controller for lower limb rehabilitation exoskeleton robot based on an improved elk herd hybridized with grey wolf and multi-verse optimization algorithms. [PDF]

Front Robot AI
Mohammed Ali NS, Saleh MH, Abbas NH.
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An efficient charging strategy for wireless sensor networks based on saturation degree and Enhanced Grey Wolf optimization. [PDF]

Sci Rep
Neelagandan P, Balaji S.
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A novel hybrid feature selection method combining binary grey wolf optimization and cuckoo search. [PDF]

Sci Rep
Liu X, Tian H.
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An energy efficient hierarchical routing approach for UWSNs using biology inspired intelligent optimization. [PDF]

Sci Rep
Chen W, He L, Cao B, Zhou P, Wang Y, Wang H, Jia Y.   +6 more
europepmc   +1 more source

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Enhanced Grey Wolf Optimization Algorithm for Global Optimization

Fundamenta Informaticae, 2017
Grey Wolf Optimizer (GWO) is a new meta-heuristic search algorithm inspired by the social behavior of leadership and the hunting mechanism of grey wolves. GWO algorithm is prominent in terms of finding the optimal solution without getting trapped in premature convergence. In the original GWO, half of the iterations are dedicated to exploration and the
Joshi, Himani, Arora, Sankalap
openaire   +2 more sources