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» Introduction to genetic programming
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ICSE
2008
IEEE-ACM
15 years 10 months ago
On the automation of fixing software bugs
Software Testing can take up to half of the resources of the development of new software. Although there has been a lot of work on automating the testing phase, fixing a bug after...
Andrea Arcuri
CGO
2009
IEEE
15 years 4 months ago
Automatic Feature Generation for Machine Learning Based Optimizing Compilation
Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning tec...
Hugh Leather, Edwin V. Bonilla, Michael O'Boyle
EVOW
2009
Springer
15 years 4 months ago
Evolving Simple Art-Based Games
Evolutionary art has a long and distinguished history, and genetic programming is one of only a handful of AI techniques which is used in graphic design and the visual arts. A rece...
Simon Colton, Cameron Browne
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
15 years 3 months ago
A statistical learning theory approach of bloat
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in the framework of sy...
Sylvain Gelly, Olivier Teytaud, Nicolas Bredeche, ...
BMCBI
2005
119views more  BMCBI 2005»
14 years 9 months ago
GASH: An improved algorithm for maximizing the number of equivalent residues between two protein structures
Background: We introduce GASH, a new, publicly accessible program for structural alignment and superposition. Alignments are scored by the Number of Equivalent Residues (NER), a q...
Daron M. Standley, Hiroyuki Toh, Haruki Nakamura