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Decision Making with Dominance Constraints in Two-Stage Stochastic Integer ProgrammingDecision Making with Dominance Constraints in Two-Stage Stochastic Integer Programming
Decision Making with Dominance Constraints in Two-Stage Stochastic Integer Programming
Autor: Gotzes, Uwe

Decision Making with Dominance Constraints in Two-Stage Stochastic Integer Programming

Aus der Reihe: Stochastic Programming

2009. 104 pp. with 30 Fig. and 11 Tab. Soft cover
ISBN: 978-3-8348-0843-1

69,95
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Das Buch
Two-stage stochastic programming models are considered as attractive tools for making optimal decisions under uncertainty. Traditionally, optimality is formalized by applying statistical parameters such as the expectation or the conditional value at risk to the distributions of objective values.
Uwe Gotzes analyzes an approach to account for risk aversion in two-stage models based upon partial orders on the set of real random variables. These stochastic orders enable the incorporation of the characteristics of whole distributions into the decision process. The profit or cost distributions must pass a benchmark test with a given acceptable distribution. Thus, additional objectives can be optimized. For this new class of stochastic optimization problems, results on structure and stability are proven and a tailored algorithm to tackle large problem instances is developed. The implications of the modelling background and numerical results from the application of the proposed algorithm are demonstrated with case studies from energy trading.
Aus dem Inhalt
Increasing convex order constraints induced by mixed-integer linear recourse - competitive risk-averse selling price determination for electricity retailers - decomposition method
Zielgruppe
Researchers and practitioners working in stochastic programming, mixed-integer linear programming, risk modelling in engineering and finance
Autor | Herausgeber
Dr. Uwe Gotzes completed his doctoral thesis at the Department of Mathematics at the University of Duisburg-Essen. He is a network planner at E.ON Gastransport.
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