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GECCO
2000
Springer
104views Optimization» more  GECCO 2000»
15 years 8 months ago
Quadratic Bloat in Genetic Programming
In earlier work we predicted program size would grow in the limit at a quadratic rate and up to fty generations we measured bloat O(generations1:2;1:5). On two simple benchmarks w...
William B. Langdon
GECCO
2006
Springer
135views Optimization» more  GECCO 2006»
15 years 8 months ago
Characterizing the dynamics of symmetry breaking in genetic programming
This paper introduces a metric that measures symmetry in tree graphs, which allows for a statistical characterization of GP solutions by their architectural "shapes." A ...
Jason M. Daida
GECCO
2008
Springer
136views Optimization» more  GECCO 2008»
15 years 5 months ago
On the genetic programming of time-series predictors for supply chain management
Single and multi-step time-series predictors were evolved for forecasting minimum bidding prices in a simulated supply chain management scenario. Evolved programs were allowed to ...
Alexandros Agapitos, Matthew Dyson, Jenya Kovalchu...
CEC
2003
IEEE
15 years 10 months ago
Homology gives size control in genetic programming
Abstract- The Maximum Homologous Crossover attempts to preserve similar structures from parents by aligning them according to their homology. In this paper, it is successfully test...
Michael Defoin-Platel, Manuel Clergue, Philippe Co...
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
15 years 5 months ago
Evolving sequence patterns for prediction of sub-cellular locations of eukaryotic proteins
A genetic algorithm (GA) is utilised to discover known and novel PROSITE-like sequence templates that can be used to classify the sub-cellular location of eukaryotic proteins. Whi...
Greg Paperin