Classification algorithms can suffer from performance degradation when the class distribution is unbalanced. This paper develops a two-step approach to evolving ensembles using genetic programming (GP ...

Automatic induction of decision trees and production rules from data to develop structure−activity models for toxicity prediction has recently received much attention, and the majority of ...

Langdon, W. B. 2000. Size fair and homologous tree crossovers for tree genetic programming.Genetic programming and evolvable machines1(1-2):95–119. Poli, R. 2003. A simple but theoretically-motivated ...

Genetic programming uses a genetic algorithm over the space of possible programs to produce a program that performs a desired task. The traditional way of doing this uses program trees - however this ...

“Because these trees live so long and grow so tall, they’re capable of accumulating tremendous genetic variation over time,” explained Vincent Hanlon, who did the research as part of his master of ...