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GECCO
2007
Springer
180views Optimization» more  GECCO 2007»
15 years 7 months ago
Support vector regression for classifier prediction
In this paper we introduce XCSF with support vector prediction: the problem of learning the prediction function is solved as a support vector regression problem and each classifie...
Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi
GECCO
2006
Springer
215views Optimization» more  GECCO 2006»
15 years 7 months ago
A multi-chromosome approach to standard and embedded cartesian genetic programming
Embedded Cartesian Genetic Programming (ECGP) is an extension of Cartesian Genetic Programming (CGP) that can automatically acquire, evolve and re-use partial solutions in the for...
James Alfred Walker, Julian Francis Miller, Rachel...
113
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GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
15 years 7 months ago
Evolutionary design of fault-tolerant analog control for a piezoelectric pipe-crawling robot
In this paper, a genetic algorithm (GA) is used to design faulttolerant analog controllers for a piezoelectric micro-robot. Firstorder and second-order functions are developed to ...
Geoffrey A. Hollinger, David A. Gwaltney
136
Voted
GECCO
2007
Springer
165views Optimization» more  GECCO 2007»
15 years 9 months ago
Peptide detectability following ESI mass spectrometry: prediction using genetic programming
The accurate quantification of proteins is important in several areas of cell biology, biotechnology and medicine. Both relative and absolute quantification of proteins is often d...
David C. Wedge, Simon J. Gaskell, Simon J. Hubbard...
141
Voted
GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
15 years 9 months ago
Genetically programmed learning classifier system description and results
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
Gregory Anthony Harrison, Eric W. Worden