Esra Ozcebe, Erol Belgin
Assessment of information processing in children with functional articulation disorders
International journal of pediatric otorhinolaryngology
problem optimal scheduling system parallel queues single server extensively studied queueing theory however systems mostly analysed assuming homogeneous attributes arrival service processes markov queueing models usually assumed heterogeneous cases calculation optimal scheduling policy queueing system switching costs arbitrary interarrival service time distributions trivial task paper propose combine simulation neural network techniques solve problem scheduling system performed means neural network informing controller service completion epoch queue index serviced next adapt simulated annealing algorithm optimize weights biases multilayer neural network initially trained arbitrary heuristic control policy aim minimize average cost function turn calculated via simulation verify quality obtained optimal solutions optimal scheduling policy calculated solving markov decision problem formulated corresponding markovian counterpart results numerical analysis show effectiveness approach find optimal deterministic control policy routing scheduling resource allocation general queueing systems moreover comparison results obtained different distributions illustrates statistical insensitivity optimal scheduling policy shape interarrival service time distributions first moments