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Production scheduling with ant colony optimization frame. Optimum production schedule can be found using a variety of optimization algorithms or scheduling
Multiple Optima Identification Using Multi-strategy Multimodal Genetic Algorithm. In
this study, a novel approach based on a metaheuristic for designing multi-strategy genetic algorithm
Choice of the parameters of the CUSUM algorithms for parameter estimation in the Markov modulated Poisson processChoice of the parameters of the CUSUM algorithms for parameter estimation in the Markov modulated
Choice of the parameters of the CUSUM algorithms for parameter estimation in the Markov modulated Poisson processChoice of the parameters of the CUSUM algorithms for parameter estimation in the Markov modulated
Algorithms for active queue management in the 4G and 5G networksThe article is devoted to active queue management algorithms (Active Queue Management, hereinafter
Modernized algorithm of neural network initial weighting factors during the diagnosis of diesel engine faults it possible to reduce the volume of stored data through the creation of a weight factor knowledge base
Testing phylogenetic algorithms in linguistic databases© Springer International Publishing Switzerland 2014. Phylogenetic algorithms are a tool
Multidimensional Algorithmic Thinking Development on Mental Learning PlatformThe problem of algorithmic thinking development in computer science, computer technology
Exponential Discretization of Weights of Neural Network Connections in Pre-Trained Neural Networks algorithms we consider a weight discretization problem for trained neural networks. We show
On Load-Aware Cell Association Schemes for Group User Mobility in mmWave Networks (APs), and the choice of a proper cell association algorithm plays an essential role in optimizing
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