221 search results - page 7 / 45 » A Linear Decision-Based Approximation Approach to Stochastic... |
93
Voted
APPROX
2010
Springer
14 years 11 months ago
2010
Springer
We consider optimization problems that can be formulated as minimizing the cost of a feasible solution wT x over an arbitrary combinatorial feasible set F {0, 1}n . For these pro...
SIGECOM
2004
ACM
15 years 2 months ago
2004
ACM
In this paper, we combine two approaches to handling uncertainty: we use techniques for finding optimal solutions in the expected sense to solve combinatorial optimization proble...
111
Voted
AAAI
2011
13 years 9 months ago
2011
Sustainable resource management in many domains presents large continuous stochastic optimization problems, which can often be modeled as Markov decision processes (MDPs). To solv...
AIPS
2004
14 years 11 months ago
2004
Approximate linear programming (ALP) offers a promising framework for solving large factored Markov decision processes (MDPs) with both discrete and continuous states. Successful ...
114
Voted
CCE
2008
14 years 9 months ago
2008
Deterministic optimization approaches have been well developed and widely used in the process industry to accomplish off-line and on-line process optimization. The challenging tas...