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» Solving Demodulation as an Optimization Problem
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AAAI
2000
13 years 11 months ago
Iterative Flattening: A Scalable Method for Solving Multi-Capacity Scheduling Problems
One challenge for research in constraint-based scheduling has been to produce scalable solution procedures under fairly general representational assumptions. Quite often, the comp...
Amedeo Cesta, Angelo Oddi, Stephen F. Smith
MOC
2000
105views more  MOC 2000»
13 years 9 months ago
On the iteratively regularized Gauss-Newton method for solving nonlinear ill-posed problems
The iteratively regularized Gauss-Newton method is applied to compute the stable solutions to nonlinear ill-posed problems F (x) = y when the data y is given approximately by y wit...
Jin Qi-nian
PC
2010
196views Management» more  PC 2010»
13 years 8 months ago
Solving path problems on the GPU
We consider the computation of shortest paths on Graphic Processing Units (GPUs). The blocked recursive elimination strategy we use is applicable to a class of algorithms (such as...
Aydin Buluç, John R. Gilbert, Ceren Budak
ICEC
1996
123views more  ICEC 1996»
13 years 11 months ago
Solving Symmetric and Asymmetric TSPs by Ant Colonies
- In this paper we present ACS, a distributed algorithm for the solution of combinatorial optimization problems which was inspired by the observation of real colonies of ants. We a...
Luca Maria Gambardella, Marco Dorigo
ECAI
2004
Springer
14 years 3 months ago
On-Line Search for Solving Markov Decision Processes via Heuristic Sampling
In the past, Markov Decision Processes (MDPs) have become a standard for solving problems of sequential decision under uncertainty. The usual request in this framework is the compu...
Laurent Péret, Frédérick Garc...