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JIRS
2008
100views more  JIRS 2008»
13 years 9 months ago
Model-based Predictive Control of Hybrid Systems: A Probabilistic Neural-network Approach to Real-time Control
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...
Bostjan Potocnik, Gasper Music, Igor Skrjanc, Boru...
BIOWIRE
2007
Springer
14 years 3 months ago
Epcast: Controlled Dissemination in Human-Based Wireless Networks Using Epidemic Spreading Models
Epidemics-inspired techniques have received huge attention in recent years from the distributed systems and networking communities. These algorithms and protocols rely on probabili...
Salvatore Scellato, Cecilia Mascolo, Mirco Musoles...
GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
14 years 24 days ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...
SOFTCOMP
2010
13 years 7 months ago
Evaluating the Low Quality Measurements in Lighting Control Systems
In real world processes in the industry or in business, where the elements involved generate data full of noise and biases, improving the energy efficiency represents one of the ma...
José Ramón Villar, Enrique A. de la ...
ICCAD
2003
IEEE
205views Hardware» more  ICCAD 2003»
14 years 2 months ago
Statistical Timing Analysis for Intra-Die Process Variations with Spatial Correlations
Process variations have become a critical issue in performance verification of high-performance designs. We present a new, statistical timing analysis method that accounts for int...
Aseem Agarwal, David Blaauw, Vladimir Zolotov