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GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
13 years 10 months ago
Combining cartesian genetic programming with an estimation of distribution algorithm
This paper describes initial testing of a novel idea to combine a CGP with an EDA. In recent work a new improved crossover technique was successfully applied to a CGP. To implemen...
Janet Clegg
ENTCS
2007
182views more  ENTCS 2007»
13 years 9 months ago
Automated Fault Localization for C Programs
If a program does not fulfill a given specification, a model checker delivers a counterexample, a run which demonstrates the wrong behavior. Even with a counterexample, locating...
Andreas Griesmayer, Stefan Staber, Roderick Bloem
GPEM
2002
145views more  GPEM 2002»
13 years 9 months ago
An Analysis of the Causes of Code Growth in Genetic Programming
Abstract. This research examines the cause of code growth (bloat) in genetic programming (GP). Currently there are three hypothesized causes of code growth in GP: protection, drift...
Terence Soule, Robert B. Heckendorn
ISCAS
2007
IEEE
94views Hardware» more  ISCAS 2007»
14 years 3 months ago
Run-Time Programming of Analog Circuits Using Floating-Gate Transistors
— The ability to recalibrate a system is an important feature in allowing that system to maintain optimal performance even in the face of new demands placed on that system by env...
David W. Graham, Paul E. Hasler
AMS
2005
Springer
112views Robotics» more  AMS 2005»
14 years 2 months ago
Combining Learning and Programming for High-Performance Robot Controllers
Abstract. The implementation of high-performance robot controllers for complex control tasks such as playing autonomous robot soccer is tedious, errorprone, and a never ending prog...
Alexandra Kirsch, Michael Beetz