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» Learning Probabilistic Tree Grammars for Genetic Programming
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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
13 years 11 months ago
Learned mutation strategies in genetic programming for evolution and adaptation of simulated snakebot
In this work we propose an approach of incorporating learned mutation strategies (LMS) in genetic programming (GP) employed for evolution and adaptation of locomotion gaits of sim...
Ivan Tanev
EUROGP
2005
Springer
114views Optimization» more  EUROGP 2005»
13 years 11 months ago
Genetic Transposition in Tree-Adjoining Grammar Guided Genetic Programming: The Duplication Operator
Nguyen Xuan Hoai, Robert I. McKay, Daryl Essam, Tu...
EUROGP
2004
Springer
145views Optimization» more  EUROGP 2004»
13 years 10 months ago
Toward an Alternative Comparison between Different Genetic Programming Systems
In this paper, we use multi-objective techniques to compare different genetic programming systems, permitting our comparison to concentrate on the effect of representation and sepa...
Nguyen Xuan Hoai, Robert I. McKay, Daryl Essam, Hu...
GPEM
2006
97views more  GPEM 2006»
13 years 5 months ago
Evolving recursive programs by using adaptive grammar based genetic programming
Genetic programming (GP) extends traditional genetic algorithms to automatically induce computer programs. GP has been applied in a wide range of applications such as software ree...
Man Wong
JMLR
2010
192views more  JMLR 2010»
13 years 6 days ago
Inducing Tree-Substitution Grammars
Inducing a grammar from text has proven to be a notoriously challenging learning task despite decades of research. The primary reason for its difficulty is that in order to induce...
Trevor Cohn, Phil Blunsom, Sharon Goldwater