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» On the Controlled Evolution of Process Choreographies
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JIRS
2008
100views more  JIRS 2008»
14 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...
ECOOP
2005
Springer
15 years 3 months ago
Pitfalls in Unanticipated Dynamic Software Evolution
Abstract. The authors of this paper have all developed a framework that allows runtime adaptation of software systems. Based on our experiences, we wish to summarize common pitfall...
Peter Ebraert, Theo D'Hondt, Yves Vandewoude, Yola...
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
15 years 3 months ago
Sex and death: towards biologically inspired heuristics for constraint handling
Constrained continuous optimization is still an interesting field of research. Many heuristics have been proposed in the last decade. Most of them are based on penalty functions....
Oliver Kramer, Stephan Brügger, Dejan Lazovic
NIPS
2007
14 years 11 months ago
Inferring Elapsed Time from Stochastic Neural Processes
Many perceptual processes and neural computations, such as speech recognition, motor control and learning, depend on the ability to measure and mark the passage of time. However, ...
Misha Ahrens, Maneesh Sahani
MICRO
2008
IEEE
113views Hardware» more  MICRO 2008»
15 years 4 months ago
From SODA to scotch: The evolution of a wireless baseband processor
With the multitude of existing and upcoming wireless standards, it is becoming increasingly difficult for hardware-only baseband processing solutions to adapt to the rapidly chan...
Mark Woh, Yuan Lin, Sangwon Seo, Scott A. Mahlke, ...