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A Novel Permutation Based Solution Representation Technique for Vehicle Routing Problems on GPUs
(2021)
In this study, the vehicle routing problem (VRP) which is a well-known NP-hard combinatorial optimization problem is handled on graphic processing units (GPUs). Solving any kind of VRP is extremely hard when the instance ...
A data-driven approach based on deep neural networks for lithium-ion battery prognostics
(Springer London Ltd, 2021)
Remaining useful life estimation is gaining attention in many real-world applications to alleviate maintenance expenses and increase system reliability and efficiency. Deep learning approaches have recently provided a ...
Multi-step influenza outbreak forecasting using deep LSTM network and genetic algorithm
(Pergamon-Elsevier Science Ltd, 2021)
Influenza epidemic is a serious public health problem that has attracted worldwide attention due to cause cases of severe illness, an enormous economic burden, and even deaths worldwide each year. Forecasting influenza ...