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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 6 months ago
A developmental model of neural computation using cartesian genetic programming
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...
80
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ECAI
2004
Springer
15 years 5 months ago
Learning Techniques for Automatic Algorithm Portfolio Selection
The purpose of this paper is to show that a well known machine learning technique based on Decision Trees can be effectively used to select the best approach (in terms of efficien...
Alessio Guerri, Michela Milano
EUROGP
2007
Springer
104views Optimization» more  EUROGP 2007»
15 years 6 months ago
Code Regulation in Open Ended Evolution
We explore a homeostatic approach to program execution in computer systems: the “concentration” of computation services is regulated according to their fitness. The goal is to...
Lidia Yamamoto
JAIR
2007
132views more  JAIR 2007»
15 years 21 hour ago
New Inference Rules for Max-SAT
Exact Max-SAT solvers, compared with SAT solvers, apply little inference at each node of the proof tree. Commonly used SAT inference rules like unit propagation produce a simpli...
Chu Min Li, Felip Manyà, Jordi Planes
CGO
2005
IEEE
15 years 5 months ago
A Progressive Register Allocator for Irregular Architectures
Register allocation is one of the most important optimizations a compiler performs. Conventional graphcoloring based register allocators are fast and do well on regular, RISC-like...
David Koes, Seth Copen Goldstein