Simulation and Analysis of Mathematical Methods in Real-Time Engineering Applications. Группа авторов

discussed. Deep learning is widely now applied in many domains to solve NP-hard problems. In edge computing also many NP-hard problems could be solved using a deep learning mechanism. In this chapter, a few DL-based edge computing solutions are discussed. Various offloading mechanism using deep reinforcement learning is presented with associated challenges of offloading. As the second part of the deep learning application, resource allocation in edge computing environments using deep learning mechanisms is also given. Evolutionary-based optimization is another potential solution to solve the multi-objective, multi-constraint optimization problem. A few optimization problems using evolutionary algorithms like ant colony optimization, genetic algorithm, and particle swarm optimization for edge computing are also described.

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