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FLAIRS
2006
14 years 5 days ago
Improving Modularity in Genetic Programming Using Graph-Based Data Mining
We propose to improve the efficiency of genetic programming, a method to automatically evolve computer programs. We use graph-based data mining to identify common aspects of highl...
Istvan Jonyer, Akiko Himes
GG
2008
Springer
13 years 12 months ago
Adaptive Star Grammars for Graph Models
Abstract. Adaptive star grammars generalize well-known graph grammar formalisms based on hyperedge and node replacement while retaining, e.g., parseability and the commutativity an...
Frank Drewes, Berthold Hoffmann, Mark Minas
TSMC
2008
100views more  TSMC 2008»
13 years 10 months ago
Instruction-Matrix-Based Genetic Programming
In genetic programming (GP), evolving tree nodes separately would reduce the huge solution space. However, tree nodes are highly interdependent with respect to their fitness. In th...
Gang Li, Jin Feng Wang, Kin-Hong Lee, Kwong-Sak Le...
GECCO
2004
Springer
140views Optimization» more  GECCO 2004»
14 years 4 months ago
Keeping the Diversity with Small Populations Using Logic-Based Genetic Programming
We present a new method of Logic-Based Genetic Programming (LBGP). Using the intrinsic mechanism of backtracking in Prolog, we utilize large individual programs with redundant clau...
Ken Taniguchi, Takao Terano
EUROGP
2010
Springer
166views Optimization» more  EUROGP 2010»
14 years 3 months ago
Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data
We describe a data mining framework that derives panelist information from sparse flavour survey data. One component of the framework executes genetic programming ensemble based s...
Katya Vladislavleva, Kalyan Veeramachaneni, Una-Ma...