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GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
14 years 25 days ago
A Descriptive Encoding Language for Evolving Modular Neural Networks
Evolutionary algorithms are a promising approach for the automated design of artificial neural networks, but they require a compact and efficient genetic encoding scheme to repres...
Jae-Yoon Jung, James A. Reggia
RE
2008
Springer
13 years 7 months ago
Rule-Based Maintenance of Post-Requirements Traceability Relations
An accurate set of traceability relations between software development artifacts is desirable to support evolutionary development. However, even where an initial set of traceabili...
Patrick Mäder, Orlena Gotel, Ilka Philippow
SCOPES
2007
Springer
14 years 1 months ago
Optimization of dynamic data structures in multimedia embedded systems using evolutionary computation
Embedded consumer devices are increasing their capabilities and can now implement new multimedia applications reserved only for powerful desktops a few years ago. These applicatio...
David Atienza, Christos Baloukas, Lazaros Papadopo...
IJON
2006
127views more  IJON 2006»
13 years 7 months ago
Evolved neural networks based on cellular automata for sensory-motor controller
Constructing the controller of a mobile robot has several issues to be addressed: how to automate behavior generation procedure, how to insert available domain knowledge effective...
Kyung-Joong Kim, Sung-Bae Cho
TMI
2002
248views more  TMI 2002»
13 years 7 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson