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GECCO
2007
Springer
119views Optimization» more  GECCO 2007»
15 years 9 months ago
Optimising the flow of experiments to a robot scientist with multi-objective evolutionary algorithms
A Robot Scientist is a physically implemented system that applies artificial intelligence to autonomously discover new knowledge through cycles of scientific experimentation. Ad...
Emma Byrne
ESA
2006
Springer
136views Algorithms» more  ESA 2006»
15 years 6 months ago
Approximation in Preemptive Stochastic Online Scheduling
Abstract. We present a first constant performance guarantee for preemptive stochastic scheduling to minimize the sum of weighted completion times. For scheduling jobs with release ...
Nicole Megow, Tjark Vredeveld
GECCO
2010
Springer
141views Optimization» more  GECCO 2010»
15 years 6 months ago
Today/future importance analysis
SBSE techniques have been widely applied to requirements selection and prioritization problems in order to ascertain a suitable set of requirements for the next release of a syste...
Yuanyuan Zhang, Enrique Alba, Juan J. Durillo, Sig...
ICPR
2010
IEEE
15 years 5 months ago
Fast Training of Object Detection Using Stochastic Gradient Descent
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...
Rob Wijnhoven, Peter H. N. De With
CSCLP
2008
Springer
15 years 4 months ago
IDB-ADOPT: A Depth-First Search DCOP Algorithm
Abstract. Many agent coordination problems can be modeled as distributed constraint optimization problems (DCOPs). ADOPT is an asynchronous and distributed search algorithm that is...
William Yeoh, Ariel Felner, Sven Koenig