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CEC
2007
IEEE
13 years 10 months ago
Designing memetic algorithms for real-world applications using self-imposed constraints
— Memetic algorithms (MAs) combine the global exploration abilities of evolutionary algorithms with a local search to further improve the solutions. While a neighborhood can be e...
Thomas Michelitsch, Tobias Wagner, Dirk Biermann, ...
ECTEL
2009
Springer
13 years 7 months ago
CAMera for PLE
Successful self-regulated learning in a personalized learning environment (PLE) requires self-monitoring of the learner and reflection of learning behaviour. We introduce a tool ca...
Hans-Christian Schmitz, Maren Scheffel, Martin Fri...
DAGSTUHL
2006
13 years 11 months ago
6D SLAM with Cached kd-tree Search
6D SLAM (Simultaneous Localization and Mapping) or 6D Concurrent Localization and Mapping of mobile robots considers six degrees of freedom for the robot pose, namely, the x, y and...
Andreas Nüchter, Kai Lingemann, Joachim Hertz...
ITS
2010
Springer
171views Multimedia» more  ITS 2010»
14 years 2 months ago
Identifying Problem Localization in Peer-Review Feedback
Abstract. In this paper, we use supervised machine learning to automatically identify the problem localization of peer-review feedback. Using five features extracted via Natural L...
Wenting Xiong, Diane J. Litman
SAGA
2001
Springer
14 years 2 months ago
Evolutionary Search for Smooth Maps in Motor Control Unit Calibration
We study the combinatorial optimization task of choosing the smoothest map from a given family of maps, which is motivated from motor control unit calibration. The problem is of a ...
Jan Poland, Kosmas Knödler, Alexander Mittere...