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» Evolving heuristics with genetic programming
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GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
14 years 1 months ago
Improving cooperative GP ensemble with clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
SC
2005
ACM
14 years 3 months ago
Automatic Tuning of Inlining Heuristics
Inlining improves the performance of programs by reducing the overhead of method invocation and increasing the opportunities for compiler optimization. Incorrect inlining decision...
John Cavazos, Michael F. P. O'Boyle
ICML
1998
IEEE
14 years 10 months ago
Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach
Genetic Programming (GP) is a machine learning technique that was not conceived to use domain knowledge for generating new candidate solutions. It has been shown that GP can bene ...
Ricardo Aler, Daniel Borrajo, Pedro Isasi
ISDA
2009
IEEE
14 years 4 months ago
MAHATMA: A Genetic Programming-Based Tool for Protein Classification
Proteins can be grouped into families according to some features such as hydrophobicity, composition or structure, aiming to establish common biological functions. This paper pres...
Denise Fukumi Tsunoda, Alex Alves Freitas, Heitor ...
CEC
2007
IEEE
14 years 2 months ago
Double-deck elevator systems using Genetic Network Programming with reinforcement learning
Abstract-- In order to increase the transportation capability of elevator group systems in high-rise buildings without adding elevator installation space, double-deck elevator syst...
Jin Zhou, Lu Yu, Shingo Mabu, Kotaro Hirasawa, Jin...