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ATAL
2008
Springer
13 years 9 months ago
Multi-robot Markov random fields
We propose Markov random fields (MRFs) as a probabilistic mathematical model for unifying approaches to multi-robot coordination or, more specifically, distributed action selectio...
Jesse Butterfield, Odest Chadwicke Jenkins, Brian ...
SODA
1997
ACM
111views Algorithms» more  SODA 1997»
13 years 8 months ago
Approximation Schemes for Scheduling
We discuss scheduling problems with m identical machines and n jobs where each job has to be assigned to some machine. The goal is to optimize objective functions that solely depe...
Noga Alon, Yossi Azar, Gerhard J. Woeginger, Tal Y...
IJCNN
2006
IEEE
14 years 1 months ago
Using Neural Network to Enhance Assimilating Sea Surface Height Data into an Ocean Model
—A generic approach that allows extracting functional nonlinear dependencies and mappings between atmospheric or ocean state variables in a relatively simple form is presented. T...
Vladimir M. Krasnopolsky, Carlos J. Lozano, Deanna...
SIAMCO
2008
70views more  SIAMCO 2008»
13 years 7 months ago
Minimal Time Sequential Batch Reactors with Bounded and Impulse Controls for One or More Species
We consider the optimal control problem of feeding in minimal time a tank where several species compete for a single resource, with the objective being to reach a given level of th...
Pedro Gajardo, Héctor Ramírez Cabrer...
GECCO
2009
Springer
14 years 2 months ago
On the scalability of XCS(F)
Many successful applications have proven the potential of Learning Classifier Systems and the XCS classifier system in particular in datamining, reinforcement learning, and func...
Patrick O. Stalph, Martin V. Butz, David E. Goldbe...