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» Evolutionary Computation for Modeling and Optimization
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EOR
2002
74views more  EOR 2002»
15 years 6 months ago
Modeling multistage cutting stock problems
In multistage cutting stock problems (CSP) the cutting process is distributed over several successive stages. Every stage except the last one produces intermediate products. The l...
Eugene J. Zak
SENSYS
2010
ACM
15 years 4 months ago
Adaptive decentralized control of underwater sensor networks for modeling underwater phenomena
Understanding the dynamics of bodies of water and their impact on the global environment requires sensing information over the full volume of water. We develop a gradientbased dec...
Carrick Detweiler, Marek Doniec, Mingshun Jiang, M...
CORR
2011
Springer
127views Education» more  CORR 2011»
15 years 2 months ago
Is a probabilistic modeling
— A new standpoint on financial time series, without the use of any mathematical model and of probabilistic tools, yields not only a rigorous approach of trends and volatility, ...
Michel Fliess, Cédric Join, Fréd&eac...
SIAMIS
2010
167views more  SIAMIS 2010»
15 years 1 months ago
Global Solutions of Variational Models with Convex Regularization
Abstract. We propose an algorithmic framework for computing global solutions of variational models with convex regularity terms that permit quite arbitrary data terms. While the mi...
Thomas Pock, Daniel Cremers, Horst Bischof, Antoni...
ICML
1997
IEEE
16 years 7 months ago
Predicting Multiprocessor Memory Access Patterns with Learning Models
Machine learning techniques are applicable to computer system optimization. We show that shared memory multiprocessors can successfully utilize machine learning algorithms for mem...
M. F. Sakr, Steven P. Levitan, Donald M. Chiarulli...