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CEC
2010
IEEE
15 years 2 months ago
Active Learning Genetic programming for record deduplication
The great majority of genetic programming (GP) algorithms that deal with the classification problem follow a supervised approach, i.e., they consider that all fitness cases availab...
Junio de Freitas, Gisele L. Pappa, Altigran Soares...
CEC
2009
IEEE
15 years 11 months ago
Optimization of the sizing of a solar thermal electricity plant: Mathematical programming versus genetic algorithms
— Genetic algorithms (GAs) have been argued to constitute a flexible search thereby enabling to solve difficult problems which classical optimization methodologies may find ha...
Jose M. Cabello, Jose M. Cejudo, Mariano Luque, Fr...
FLAIRS
2001
15 years 5 months ago
A Framework for Evolving Fuzzy Classifier Systems Using Genetic Programming
Afuzzy classifier systemframeworkis proposedwhich employsa tree-based representation for fuzzy rule (classifier) antecedents and genetic programmingfor fuzzy rule discovery. Sucha...
Brian Carse, Anthony G. Pipe
CEC
2007
IEEE
15 years 8 months ago
Mining association rules from databases with continuous attributes using genetic network programming
Most association rule mining algorithms make use of discretization algorithms for handling continuous attributes. Discretization is a process of transforming a continuous attribute...
Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shing...
EUROGP
2004
Springer
160views Optimization» more  EUROGP 2004»
15 years 8 months ago
Exploiting Reflection in Object Oriented Genetic Programming
Most programs currently written by humans are object-oriented ones. Two of the greatest benefits of object oriented programming are the separation of interface from implementation,...
Simon M. Lucas