Arc Reduction and Path Preference in Stochastic Acyclic Networks

The paper presents a heuristic for determining the path that maximizes the expected utility of a stochastic acyclic network. The focus is on shortest route problems where a general, nonlinear utility function is used to measure outcomes. For such problems, enumerating all feasible paths is the only...

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Bibliographische Detailangaben
Veröffentlicht in:Management Science. - Institute for Operations Research and the Management Sciences, 1954. - 37(1991), 2, Seite 198-215
1. Verfasser: Bard, Jonathan F. (VerfasserIn)
Weitere Verfasser: Bennett, James E.
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 1991
Zugriff auf das übergeordnete Werk:Management Science
Schlagworte:Stochastic Networks Shortest Path Problems Monte Carlo Simulation Utility Theory Mathematics Economics Behavioral sciences Applied sciences Philosophy Education
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520 |a The paper presents a heuristic for determining the path that maximizes the expected utility of a stochastic acyclic network. The focus is on shortest route problems where a general, nonlinear utility function is used to measure outcomes. For such problems, enumerating all feasible paths is the only way to guarantee that the global optimum has been found. Alternatively, we develop a reduction algorithm based on stochastic dominance to speed up the computations. Monte Carlo simulation is used to evaluate the approach. In all, 70 test problems comprising 20 to 60 nodes are randomly generated and analyzed. The results indicate that the heuristic produces significant computational saving as the size of the network grows, and that the quality of the reduced network solutions are better than those obtained from the original formulation. 
540 |a Copyright 1991 The Institute of Management Sciences 
650 4 |a Stochastic Networks 
650 4 |a Shortest Path Problems 
650 4 |a Monte Carlo Simulation 
650 4 |a Utility Theory 
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650 4 |a Economics  |x Microeconomics  |x Economic utility  |x Expected utility 
650 4 |a Economics  |x Microeconomics  |x Economic utility  |x Utility functions 
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650 4 |a Mathematics  |x Applied mathematics  |x Statistics  |x Applied statistics  |x Descriptive statistics  |x Statistical distributions  |x Distribution functions  |x Probability distributions  |x Cumulative distribution functions 
650 4 |a Philosophy  |x Metaphysics  |x Etiology  |x Determinism 
650 4 |a Education  |x Educational resources  |x Instructional materials  |x Problem sets 
655 4 |a research-article 
700 1 |a Bennett, James E.  |e verfasserin  |4 aut 
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856 4 0 |u https://www.jstor.org/stable/2632391  |3 Volltext 
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952 |d 37  |j 1991  |e 2  |h 198-215