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GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
14 years 20 days 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
GECCO
2007
Springer
283views Optimization» more  GECCO 2007»
14 years 2 months ago
Evolving Lucene search queries for text classification
We describe a method for generating accurate, compact, human understandable text classifiers. Text datasets are indexed using Apache Lucene and Genetic Programs are used to constr...
Laurence Hirsch, Robin Hirsch, Masoud Saeedi
CEC
2005
IEEE
14 years 2 months ago
Finding attack strategies for predator swarms using genetic algorithms
Abstract- Behavior based architectures have many parameters that must be tuned to produce effective and believable agents. We use genetic algorithms to tune simple behavior based c...
Ryan E. Leigh, Tony Morelli, Sushil J. Louis, Moni...
EC
2006
118views ECommerce» more  EC 2006»
13 years 8 months ago
Human-Competitive Evolution of Quantum Computing Artefacts by Genetic Programming
We show how Genetic Programming (GP) can be used to evolve useful quantum computing artefacts of increasing sophistication and usefulness: firstly specific quantum circuits, then ...
Paul Massey, John A. Clark, Susan Stepney
GPEM
2006
89views more  GPEM 2006»
13 years 8 months ago
Morphological algorithm design for binary images using genetic programming
This paper presents a Genetic Programming (GP) approach to the design of Mathematical Morphology (MM) algorithms for binary images. The algorithms are constructed using logic opera...
Marcos I. Quintana, Riccardo Poli, Ela Claridge