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GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
14 years 2 months ago
Improving GP classifier generalization using a cluster separation metric
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
Ashley George, Malcolm I. Heywood
GECCO
2006
Springer
167views Optimization» more  GECCO 2006»
14 years 2 months ago
Genomic computing networks learn complex POMDPs
A genomic computing network is a variant of a neural network for which a genome encodes all aspects, both structural and functional, of the network. The genome is evolved by a gen...
David J. Montana, Eric Van Wyk, Marshall Brinn, Jo...
PPSN
2000
Springer
14 years 2 months ago
Interacting Trajectories in Design Space and Niche Space: A Philosopher Speculates About Evolution
Abstract. There are evolutionary trajectories in two different but related spaces, design space and niche space. Coevolution occurs in parallel trajectories in both spaces, with co...
Aaron Sloman
ICML
1994
IEEE
14 years 2 months ago
Hierarchical Self-Organization in Genetic programming
This paper presents an approach to automatic discovery of functions in Genetic Programming. The approach is based on discovery of useful building blocks by analyzing the evolution...
Justinian P. Rosca, Dana H. Ballard
GRC
2009
IEEE
14 years 2 months ago
A step toward code granulation space
This paper proposes a code granulation space which can be applied to program construction and processing. Each granule in the space is defined as an improvement to the seed progra...
Yinliang Zhao