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SAGA
2009
Springer
14 years 2 months ago
Scenario Reduction Techniques in Stochastic Programming
Stochastic programming problems appear as mathematical models for optimization problems under stochastic uncertainty. Most computational approaches for solving such models are base...
Werner Römisch
IWIA
2006
IEEE
14 years 1 months ago
Modeling and Execution of Complex Attack Scenarios using Interval Timed Colored Petri Nets
The commonly used flaw hypothesis model (FHM) for performing penetration tests provides only limited, highlevel guidance for the derivation of actual penetration attempts. In thi...
Ole Martin Dahl, Stephen D. Wolthusen
CONSTRAINTS
2006
70views more  CONSTRAINTS 2006»
13 years 7 months ago
Stochastic Constraint Programming: A Scenario-Based Approach
To model combinatorial decision problems involving uncertainty and probability, we introduce scenario based stochastic constraint programming. Stochastic constraint programs conta...
Armagan Tarim, Suresh Manandhar, Toby Walsh
COR
2008
85views more  COR 2008»
13 years 7 months ago
Short-term hydropower production planning by stochastic programming
Within the framework of multi-stage mixed-integer linear stochastic programming we develop a short-term production plan for a price-taking hydropower plant operating under uncerta...
Stein-Erik Fleten, Trine Krogh Kristoffersen
MP
2006
100views more  MP 2006»
13 years 7 months ago
A branch-and-cut algorithm for the stochastic uncapacitated lot-sizing problem
This paper addresses a multi-stage stochastic integer programming formulation of the uncapacitated lot-sizing problem under uncertainty. We show that the classical ( , S) inequalit...
Yongpei Guan, Shabbir Ahmed, George L. Nemhauser, ...