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Generalized semi-Markov decision processes
Published online by Cambridge University Press: 14 July 2016
Abstract
Various authors have derived the necessary and sufficient conditions for optimality in semi-Markov decision processes in which the state remains constant between jumps. In this paper similar results are presented for a generalized semi-Markov decision process in which the state varies between jumps according to a Markov process with continuous sample paths. These results are specialized to a general storage model and an application to the service rate control in a GI/G/1 queue is indicated.
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- Copyright © Applied Probability Trust 1979
Footnotes
Research partly supported by a Summer Research Fellowship at Rutgers University.
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