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AMAI
2006
Springer
13 years 9 months ago
Symmetric approximate linear programming for factored MDPs with application to constrained problems
A weakness of classical Markov decision processes (MDPs) is that they scale very poorly due to the flat state-space representation. Factored MDPs address this representational pro...
Dmitri A. Dolgov, Edmund H. Durfee
SIAMJO
2000
63views more  SIAMJO 2000»
13 years 8 months ago
Pattern Search Methods for Linearly Constrained Minimization
This paper deals with generalized pattern search (GPS) algorithms for linearly constrained optimization. At each iteration, the GPS algorithm generates a set of directions that con...
Robert Michael Lewis, Virginia Torczon
ICCV
2009
IEEE
15 years 1 months ago
Time-Constrained Photography
Capturing multiple photos at different focus settings is a powerful approach for reducing optical blur, but how many photos should we capture within a fixed time budget? We develop...
Samuel W. Hasinoff, Kiriakos N. Kutulakos, Frédo ...
GECCO
2006
Springer
206views Optimization» more  GECCO 2006»
14 years 17 days ago
A dynamically constrained genetic algorithm for hardware-software partitioning
In this article, we describe the application of an enhanced genetic algorithm to the problem of hardware-software codesign. Starting from a source code written in a high-level lan...
Pierre-André Mudry, Guillaume Zufferey, Gia...
CP
2011
Springer
12 years 8 months ago
Pruning Rules for Constrained Optimisation for Conditional Preferences
A depth-first search algorithm can be used to find optimal solutions of a Constraint Satisfaction Problem (CSP) with respect to a set of conditional preferences statements (e.g.,...
Nic Wilson, Walid Trabelsi