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» Using Genetic Programming to Increase Rule Quality
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CEC
2008
IEEE
14 years 2 months ago
Policy evolution with Genetic Programming: A comparison of three approaches
— In the early days a policy was a set of simple rules with a clear intuitive motivation that could be formalised to good effect. However the world is now much more complex. Subt...
Yow Tzu Lim, Pau-Chen Cheng, John Andrew Clark, Pa...
TVCG
2011
120views more  TVCG 2011»
13 years 2 months ago
Drawing and Labeling High-Quality Metro Maps by Mixed-Integer Programming
—Metro maps are schematic diagrams of public transport networks that serve as visual aids for route planning and navigation tasks. It is a challenging problem in network visualiz...
Martin Nöllenburg, Alexander Wolff
MCS
2007
Springer
14 years 1 months ago
Classifier Combining Rules Under Independence Assumptions
Classifier combining rules are designed for the fusion of the results from the component classifiers in a multiple classifier system. In this paper, we firstly propose a theoretica...
Shoushan Li, Chengqing Zong
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
14 years 1 months ago
Discovering biological motifs with genetic programming
Choosing the right representation for a problem is important. In this article we introduce a linear genetic programming approach for motif discovery in protein families, and we al...
Rolv Seehuus, Amund Tveit, Ole Edsberg
GECCO
2011
Springer
274views Optimization» more  GECCO 2011»
12 years 11 months ago
Fuzzy dynamical genetic programming in XCSF
—A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to Neural Networks, and more recently Dynamical ...
Richard Preen, Larry Bull