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» Representation Invariant Genetic Operators
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JMLR
2008
95views more  JMLR 2008»
13 years 7 months ago
Learning Similarity with Operator-valued Large-margin Classifiers
A method is introduced to learn and represent similarity with linear operators in kernel induced Hilbert spaces. Transferring error bounds for vector valued large-margin classifie...
Andreas Maurer
EUROGP
2007
Springer
135views Optimization» more  EUROGP 2007»
14 years 1 months ago
A Grammatical Genetic Programming Approach to Modularity in Genetic Algorithms
The ability of Genetic Programming to scale to problems of increasing difficulty operates on the premise that it is possible to capture regularities that exist in a problem environ...
Erik Hemberg, Conor Gilligan, Michael O'Neill, Ant...
GECCO
2000
Springer
122views Optimization» more  GECCO 2000»
13 years 11 months ago
Genetic Programming with Statically Scoped Local Variables
This paper presents an extension to genetic programming to allow the evolution of programs containing local variables with static scope which obey the invariant that all variables...
Evan Kirshenbaum
GECCO
2003
Springer
112views Optimization» more  GECCO 2003»
14 years 22 days ago
A Survey on Chromosomal Structures and Operators for Exploiting Topological Linkages of Genes
Abstract. The building block hypothesis implies that the epistatic property of a given problem must be connected well to the linkage property of the employed representation and cro...
Dong-il Seo, Byung Ro Moon
FOGA
1996
13 years 8 months ago
A Study of Fixed-Length Subset Recombination
While bit-based, order-based and real-valued genetic algorithms have been wellstudied in the literature, the xed-length subset representation has received relativelylittle attenti...
Kelly D. Crawford, Cory J. Hoelting, Roger L. Wain...