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JUCS
2006
135views more  JUCS 2006»
13 years 7 months ago
Automatic Programming Methodologies for Electronic Hardware Fault Monitoring
: This paper presents three variants of Genetic Programming (GP) approaches for intelligent online performance monitoring of electronic circuits and systems. Reliability modeling o...
Ajith Abraham, Crina Grosan
GECCO
2004
Springer
110views Optimization» more  GECCO 2004»
14 years 26 days ago
Biomass Inferential Sensor Based on Ensemble of Models Generated by Genetic Programming
A successful industrial application of a novel type biomass estimator based on Genetic Programming (GP) is described in the paper. The biomass is inferred from other available meas...
Arthur K. Kordon, Elsa Jordaan, Lawrence Chew, Gui...
GECCO
1999
Springer
142views Optimization» more  GECCO 1999»
13 years 11 months ago
Towards Byte Code Genetic Programming
This paper uses the GP paradigm to evolve linear genotypes (individuals) that consist of Java byte code. Our prototype GP system is implemented in Java using a standard Java devel...
Brad Harvey, James A. Foster, Deborah A. Frincke
GECCO
2004
Springer
106views Optimization» more  GECCO 2004»
14 years 26 days ago
Run Transferable Libraries - Learning Functional Bias in Problem Domains
Abstract. This paper introduces the notion of Run Transferable Libraries, a mechanism to pass knowledge acquired in one GP run to another. We demonstrate that a system using these ...
Maarten Keijzer, Conor Ryan, Mike Cattolico
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
13 years 11 months ago
Evolving kernels for support vector machine classification
While support vector machines (SVMs) have shown great promise in supervised classification problems, researchers have had to rely on expert domain knowledge when choosing the SVM&...
Keith Sullivan, Sean Luke