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GPEM
2006
97views more  GPEM 2006»
13 years 3 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
AIIA
1995
Springer
13 years 7 months ago
Learning Programs in Different Paradigms using Genetic Programming
Genetic Programming (GP) is a method of automatically inducing programs by representing them as parse trees. In theory, programs in any computer languages can be translated to par...
Man Leung Wong, Kwong-Sak Leung
EUROGP
2003
Springer
122views Optimization» more  EUROGP 2003»
13 years 8 months ago
Evolving Hierarchical and Recursive Teleo-reactive Programs through Genetic Programming
Teleo-reactive programs and the triple tower architecture have been proposed as a framework for linking perception and action in agents. The triple tower architecture continually u...
Mykel J. Kochenderfer
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
13 years 7 months ago
Learning recursive programs with cooperative coevolution of genetic code mapping and genotype
The Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP) algorithm that cooperatively coevolves a population of adaptive mappings and associated genotypes is...
Garnett Carl Wilson, Malcolm I. Heywood
PAKDD
2007
ACM
203views Data Mining» more  PAKDD 2007»
13 years 9 months ago
Grammar Guided Genetic Programming for Flexible Neural Trees Optimization
Abstract. In our previous studies, Genetic Programming (GP), Probabilistic Incremental Program Evolution (PIPE) and Ant Programming (AP) have been used to optimal design of Flexibl...
Peng Wu, Yuehui Chen