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EUROGP
2009
Springer
108views Optimization» more  EUROGP 2009»
15 years 11 months ago
Why Coevolution Doesn't "Work": Superiority and Progress in Coevolution
Coevolution often gives rise to counter-intuitive dynamics that defy our expectations. Here we suggest that much of the confusion surrounding coevolution results from imprecise not...
Thomas Miconi
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
15 years 10 months ago
An evolutionary approach to constructive induction for link discovery
This paper presents a genetic programming-based symbolic regression approach to the construction of relational features in link analysis applications. Specifically, we consider t...
Tim Weninger, William H. Hsu, Jing Xia, Waleed Alj...
GECCO
2009
Springer
15 years 10 months ago
On the scalability of XCS(F)
Many successful applications have proven the potential of Learning Classifier Systems and the XCS classifier system in particular in datamining, reinforcement learning, and func...
Patrick O. Stalph, Martin V. Butz, David E. Goldbe...
GECCO
2009
Springer
101views Optimization» more  GECCO 2009»
15 years 10 months ago
Modeling UCS as a mixture of experts
We present a probabilistic formulation of UCS (a sUpervised Classifier System). UCS is shown to be a special case of mixture of experts where the experts are learned independentl...
Narayanan Unny Edakunni, Tim Kovacs, Gavin Brown, ...
143
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GECCO
2009
Springer
167views Optimization» more  GECCO 2009»
15 years 10 months ago
Fixed-parameter evolutionary algorithms and the vertex cover problem
In this paper, we consider multi-objective evolutionary algorithms for the Vertex Cover problem in the context of parameterized complexity. We relate the runtime of our algorithms...
Stefan Kratsch, Frank Neumann