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» Iterative Filter Generation Using Genetic Programming
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SMC
2007
IEEE
118views Control Systems» more  SMC 2007»
14 years 3 months ago
One-class learning with multi-objective genetic programming
One-class classification naturally only provides one class of exemplars on which to construct the classification model. In this work, multiobjective genetic programming (GP) all...
Robert Curry, Malcolm I. Heywood
GECCO
2004
Springer
14 years 2 months ago
Virtual Ramping of Genetic Programming Populations
Abstract. Genetic Programming often uses excessive computational resources because the population size and the maximum number of generations per run are not optimized. We have deve...
Thomas Fernandez
CEC
2009
IEEE
14 years 1 months ago
Grammar-based genetic programming for timetabling
Abstract— We present a grammar-based genetic programming framework for the solving the timetabling problem via the evolution of constructive heuristics. The grammar used for prod...
Mohamed Bahy El Bader-El-Den, Riccardo Poli
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
14 years 14 days ago
Genetic programming with primitive recursion
When Genetic Programming is used to evolve arithmetic functions it often operates by composing them from a fixed collection of elementary operators and applying them to parameters...
Stefan Kahrs
FBIT
2007
IEEE
14 years 3 months ago
Developmental Evaluation in Genetic Programming: A Position Paper
—Standard genetic programming genotypes are generally highly disorganized and poorly structured, with little code replication. This is also true of existing developmental genetic...
Tuan Hao Hoang, Robert I. McKay, Daryl Essam, Nguy...