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IJON
2002
154views more  IJON 2002»
14 years 9 months ago
Nonlinear model predictive control of a cutting process
Nonlinear model predictive control (MPC) of a simulated chaotic cutting process is presented. The nonlinear MPC combines a neural-network model and a genetic-algorithm-based optim...
Primoz Potocnik, Igor Grabec
WSC
1998
14 years 11 months ago
Use of Simulation in Optimization of Maintenance Policies
Selecting an optimum maintenance policy independent of other parameters of the production system does not always yield the overall optimum operating conditions. For instance, high...
Farhad Azadivar, J. Victor Shu
CP
2006
Springer
15 years 1 months ago
Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevi...
NAA
2004
Springer
178views Mathematics» more  NAA 2004»
15 years 3 months ago
Performance Optimization and Evaluation for Linear Codes
In this paper, we develop a probabilistic model for estimation of the numbers of cache misses during the sparse matrix-vector multiplication (for both general and symmetric matrice...
Pavel Tvrdík, Ivan Simecek
ISCA
2005
IEEE
115views Hardware» more  ISCA 2005»
15 years 3 months ago
RENO - A Rename-Based Instruction Optimizer
RENO is a modified MIPS R10000 register renamer that uses map-table “short-circuiting” to implement dynamic versions of several well-known static optimizations: move eliminat...
Vlad Petric, Tingting Sha, Amir Roth