Stochastic networks

Stochastic networks

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Article ID: iaor19921878
Country: France
Volume: 24
Issue: 2
Start Page Number: 167
End Page Number: 190
Publication Date: Dec 1990
Journal: RAIRO Operations Research
Authors: ,
Abstract:

The authors consider here a state and action universe, assuming that the effect of any action which may be launched from a given state is not completely determined and depends on some probability distribution. Then, when some initial state x0 and some final state y0 are given, they try to determine a strategy which allows to go from x0 to y0 the fastest (in a probabilistic sense) or the most surely possible. The authors provide a mathematical framework for this problem through the concept of stochastic network and prove that the classical shortest path algorithms (Dijkstra, Dantzig, Bellman, A*) can be rewritten in this context.

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