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GECCO
2006
Springer
13 years 8 months ago
MOGE: GP classification problem decomposition using multi-objective optimization
A novel approach to classification is proposed in which a Paretobased ranking of individuals is used to encourage multiple individuals to participate in the solution. To do so, th...
Andrew R. McIntyre, Malcolm I. Heywood
EUROGP
2007
Springer
145views Optimization» more  EUROGP 2007»
13 years 8 months ago
GP Classifier Problem Decomposition Using First-Price and Second-Price Auctions
This work details an auction-based model for problem decomposition in Genetic Programming classification. The approach builds on the population-based methodology of Genetic Progra...
Peter Lichodzijewski, Malcolm I. Heywood
EUROGP
2007
Springer
126views Optimization» more  EUROGP 2007»
13 years 8 months ago
Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach
The conversion and extension of the Incremental Pareto-Coevolution Archive algorithm (IPCA) into the domain of Genetic Programming classification is presented. In particular, the ...
Michal Lemczyk, Malcolm I. Heywood