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EMO
2009
Springer
174views Optimization» more  EMO 2009»
13 years 12 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
MP
2006
75views more  MP 2006»
13 years 5 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
CCE
2004
13 years 5 months ago
Optimization under uncertainty: state-of-the-art and opportunities
A large number of problems in production planning and scheduling, location, transportation, finance, and engineering design require that decisions be made in the presence of uncer...
Nikolaos V. Sahinidis
ICEIS
2009
IEEE
13 years 12 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
ANTSW
2004
Springer
13 years 10 months ago
S-ACO: An Ant-Based Approach to Combinatorial Optimization Under Uncertainty
A general-purpose, simulation-based algorithm S-ACO for solving stochastic combinatorial optimization problems by means of the ant colony optimization (ACO) paradigm is investigate...
Walter J. Gutjahr