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Constraint Satisfaction for Planning and Scheduling Problems

Bartak, Roman; Salido, Miguel A. (Springer Verlag (Germany), 2011)

The areas of planning and scheduling (from the Artificial Intelligence point of view) have seen important advances thanks to application of constraint satisfaction techniques. Currently, many important real-world problems ...
Fairness-Driven Fast Resource Allocation for Interference-Free Heterogeneous Networks

Calabuig Soler, Daniel; Monserrat del Río, José Francisco; Cardona Marcet, Narciso (Institute of Electrical and Electronics Engineers (IEEE), 2012-07)

Resource allocation in heterogeneous wireless networks is a complex problem. This letter addresses this problem maximizing the sum of logarithms of received rates. From this function, and using the Karush-Kuhn-Tucker (KKT) ...
Forecasting model selection through out-of-sample rolling horizon weighted errors

Poler Escoto, Raúl; Mula, Josefa (Elsevier, 2011-11)

Demand forecasting is an essential process for any firm whether it is a supplier, manufacturer or retailer. A large number of research works about time series forecast techniques exists in the literature, and there are ...

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