Power transformer fault warning combining support vector machine and improved grey wolf optimization algorithm [PDF]
To optimize the parameter setting of the support vector machine and improve the classification performance and computational efficiency of power transformer fault diagnosis, this study proposes an improved grey wolf optimization algorithm.
Pattanadech, Norasage, Zhao, Shuzong
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A financial distress prediction method based on quantum-inspired grey wolf algorithm
Current research on financial distress prediction faces numerous unresolved issues. Specifically, financial market data often exhibits asymmetric volatility and heavy-tailed characteristics, leading to skewed distributions.
Wen Wen, Ming Zhou
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Application of optimized Kalman filtering in target tracking based on improved Gray Wolf algorithm
High precision is a very important index in target tracking. In order to improve the prediction accuracy of target tracking, an optimized Kalman filter approach based on improved Gray Wolf algorithm (IGWO-OKF) is proposed in this paper.
Zheming Pang, Yajun Wang, Fang Yang
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JayaX: Jaya algorithm with xor operator for binary optimization
Jaya is a population-based heuristic optimization algorithm proposed for solving constrained and unconstrained optimization problems. The peculiar distinct feature of Jaya from the other population-based algorithms is that it updates the positions of ...
Aslan, Murat +2 more
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Hybrid Genetic Grey Wolf Algorithm for Large-Scale Global Optimization
Most real-world optimization problems tackle a large number of decision variables, known as Large-Scale Global Optimization (LSGO) problems. In general, the metaheuristic algorithms for solving such problems often suffer from the “curse of dimensionality.
Xuexian Li, Qinghua Gu, Song Jiang
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Retraction Note: Optimal scheduling of integrated energy system based on improved grey wolf optimization algorithm. [PDF]
Du J, Zhang Z, Li M, Guo J, Zhu K.
europepmc +1 more source
Traffic flow forecasting using natural selection based hybrid Bald Eagle Search-Grey Wolf optimization algorithm. [PDF]
R S, S A A, Y V RR, Sadiq AS.
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A Multi-Strategy Collaborative Grey Wolf Optimization Algorithm for UAV Path Planning
The Grey Wolf Optimization Algorithm (GWO) is a member of the swarm intelligence algorithm family, which possesses the highlights of easy realization, simple parameter settings and wide applicability.
Peng Shao, Zilong Wang, Chaoyi Rao
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This research article introduces a hybrid optimization algorithm, referred to as Grey Wolf Optimizer-Teaching Learning Based Optimization (GWO-TLBO), which extends the Grey Wolf Optimizer (GWO) by integrating it with Teaching-Learning-Based Optimization (
Harleenpal Singh +6 more
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A newly hybrid nature inspired algorithm called HPSOGWO is presented with the combination of Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO).
Narinder Singh, S. B. Singh
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