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» Adapting Representation in Genetic Programming
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GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
14 years 5 days ago
Evolving stochastic processes using feature tests and genetic programming
The synthesis of stochastic processes using genetic programming is investigated. Stochastic process behaviours take the form of time series data, in which quantities of interest v...
Brian J. Ross, Janine H. Imada
FBIT
2007
IEEE
14 years 1 months ago
Developmental Evaluation in Genetic Programming: A Position Paper
—Standard genetic programming genotypes are generally highly disorganized and poorly structured, with little code replication. This is also true of existing developmental genetic...
Tuan Hao Hoang, Robert I. McKay, Daryl Essam, Nguy...
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
14 years 1 months ago
Knowledge reuse in genetic programming applied to visual learning
We propose a method of knowledge reuse for an ensemble of genetic programming-based learners solving a visual learning task. First, we introduce a visual learning method that uses...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
GECCO
2004
Springer
113views Optimization» more  GECCO 2004»
14 years 28 days ago
Implications of Epigenetic Learning Via Modification of Histones on Performance of Genetic Programming
Extending the notion of inheritable genotype in genetic programming (GP) from the common model of DNA into chromatin (DNA and histones), we propose an approach of embedding in GP a...
Ivan Tanev, Kikuo Yuta
WAC
2005
Springer
118views Communications» more  WAC 2005»
14 years 1 months ago
Experiments on the Automatic Evolution of Protocols Using Genetic Programming
Truly autonomic networks ultimately require self-modifying, evolving protocol software. Otherwise humans must intervene in every situation that has not been anticipated at design t...
Lidia Yamamoto, Christian F. Tschudin