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Hybrid deep learning improved edge-cloud task scheduling in simulation
Deep reinforcement learning framework for adaptive task scheduling in edge-cloud computing with improved SLA compliance, reduced operational costs, and lower task rejection rates.
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Online genetic programming improved scheduling in dynamic job shops
Online Genetic Programming evolves dynamic flexible job shop scheduling rules in real-time without simulation models, achieving superior performance through adaptive fitness and population.
