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» The Learning Power of Evolution
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KI
2009
Springer
15 years 6 months ago
Surrogate Constraint Functions for CMA Evolution Strategies
Many practical optimization problems are constrained black boxes. Covariance Matrix Adaptation Evolution Strategies (CMA-ES) belong to the most successful black box optimization me...
Oliver Kramer, André Barthelmes, Günte...
ETFA
2008
IEEE
15 years 6 months ago
Gesture recognition using evolution strategy neural network
A new approach to interact with an industrial robot using hand gestures is presented. System proposed here can learn a first time user’s hand gestures rapidly. This improves pro...
Johan Hägg, Baran Çürükl&uum...
ICSM
2006
IEEE
15 years 5 months ago
Teaching Evolution of Open-Source Projects in Software Engineering Courses
In the traditional software engineering courses, the students develop small programs from scratch. This does not correspond to industry practice where programmers spend most of th...
Joseph Buchta, Maksym Petrenko, Denys Poshyvanyk, ...
IWPSE
2003
IEEE
15 years 5 months ago
Reconstruction of Successful Software Evolution Using Clone Detection
In modern software engineering, researchers regard a software system as an organic life form that must continue to evolve to remain successful. Unfortunately, little is known abou...
Filip Van Rysselberghe, Serge Demeyer
ISRR
2001
Springer
140views Robotics» more  ISRR 2001»
15 years 4 months ago
The Evolution of a Robot Soccer Team
Abstract. This paper traces four years of evolution of the UNSW team in the RoboCup Sony legged robot league. The lessons learned in the creation of a competitive team are instruct...
Claude Sammut, Bernhard Hengst