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AIPS
2003
13 years 9 months ago
A Framework for Planning in Continuous-time Stochastic Domains
We propose a framework for policy generation in continuoustime stochastic domains with concurrent actions and events of uncertain duration. We make no assumptions regarding the co...
Håkan L. S. Younes, David J. Musliner, Reid ...
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 11 months ago
Improving evolutionary real-time testing
Embedded systems are often used in a safety-critical context, e.g. in airborne or vehicle systems. Typically, timing constraints must be satisfied so that real-time embedded syste...
Marouane Tlili, Stefan Wappler, Harmen Sthamer
EUROGP
2001
Springer
105views Optimization» more  EUROGP 2001»
14 years 9 days ago
Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems
Abstract. In this paper we continue our study on adaptive genetic programming. We use Stepwise Adaptation of Weights (saw) to boost performance of a genetic programming algorithm o...
Jeroen Eggermont, Jano I. van Hemert
ICCD
2006
IEEE
127views Hardware» more  ICCD 2006»
14 years 4 months ago
Power Droop Testing
Circuit activity is a function of input patterns. When circuit activity changes abruptly, it can cause sudden drop or rise in power supply voltage. This change is known as power d...
Ilia Polian, Alejandro Czutro, Sandip Kundu, Bernd...
IPPS
2007
IEEE
14 years 2 months ago
Optimizing Sorting with Machine Learning Algorithms
The growing complexity of modern processors has made the development of highly efficient code increasingly difficult. Manually developing highly efficient code is usually expen...
Xiaoming Li, María Jesús Garzar&aacu...