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MP
2006
75views more  MP 2006»
13 years 4 months ago
A Class of stochastic programs with decision dependent uncertainty
We address a class of problems where decisions have to be optimized over a time horizon given that the future is uncertain and that the optimization decisions influence the time o...
Vikas Goel, Ignacio E. Grossmann
ICEIS
2009
IEEE
13 years 11 months ago
A Service Composition Framework for Decision Making under Uncertainty
Proposed and developed is a service composition framework for decision-making under uncertainty, which is applicable to stochastic optimization of supply chains. Also developed is ...
Malak Al-Nory, Alexander Brodsky, Hadon Nash
CP
2008
Springer
13 years 6 months ago
Cost-Based Domain Filtering for Stochastic Constraint Programming
Abstract. Cost-based filtering is a novel approach that combines techniques from Operations Research and Constraint Programming to filter from decision variable domains values that...
Roberto Rossi, Armagan Tarim, Brahim Hnich, Steven...
EMO
2009
Springer
174views Optimization» more  EMO 2009»
13 years 11 months ago
Constraint Programming
To model combinatorial decision problems involving uncertainty and probability, we introduce stochastic constraint programming. Stochastic constraint programs contain both decision...
Pascal Van Hentenryck
NIPS
2007
13 years 6 months ago
Sequential Hypothesis Testing under Stochastic Deadlines
Most models of decision-making in neuroscience assume an infinite horizon, which yields an optimal solution that integrates evidence up to a fixed decision threshold; however, u...
Peter Frazier, Angela Yu