187 search results - page 2 / 38 » Hedging Uncertainty: Approximation Algorithms for Stochastic... |
MOR
2007
13 years 4 months ago
2007
Real-world networks often need to be designed under uncertainty, with only partial information and predictions of demand available at the outset of the design process. The field ...
EMO
2009
Springer
13 years 11 months ago
2009
Springer
To model combinatorial decision problems involving uncertainty and probability, we introduce stochastic constraint programming. Stochastic constraint programs contain both decision...
CCE
2004
13 years 4 months ago
2004
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...
APPROX
2008
Springer
13 years 6 months ago
2008
Springer
In the field of robust optimization, the goal is to provide solutions to combinatorial problems that hedge against variations of the numerical parameters. This constitutes an effor...
APPROX
2005
Springer
13 years 10 months ago
2005
Springer
The field of stochastic optimization studies decision making under uncertainty, when only probabilistic information about the future is available. Finding approximate solutions to...