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» Potential fitness for genetic programming
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ICSE
2008
IEEE-ACM
14 years 7 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
AGILEDC
2004
IEEE
13 years 11 months ago
Behind the Rules: XP Experiences
Agile processes such as XP (eXtreme Programming) have been recognised for their potential benefits of improving software. During adoption of the XP process, teams can misapply the...
Andrew Jackson, Shiu Lun Tsang, Alan Gray, Cormac ...
EUROGP
2007
Springer
126views Optimization» more  EUROGP 2007»
13 years 11 months ago
Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach
The conversion and extension of the Incremental Pareto-Coevolution Archive algorithm (IPCA) into the domain of Genetic Programming classification is presented. In particular, the ...
Michal Lemczyk, Malcolm I. Heywood
JMM2
2008
64views more  JMM2 2008»
13 years 7 months ago
Predict Your Child: a System to Suggest the Facial Appearance of Children
We have developed a novel software program called `Predict Your Child' that, given photographs of potential parent faces, generates plausible looking children. The parent phot...
Charlie D. Frowd, Vicki Bruce, Helen Y. Chang, Yvo...
EVOW
2006
Springer
13 years 11 months ago
Optimisation of Constant Matrix Multiplication Operation Hardware Using a Genetic Algorithm
Abstract. The efficient design of multiplierless implementations of constant matrix multipliers is challenged by the huge solution search spaces even for small scale problems. Prev...
Andrew Kinane, Valentin Muresan, Noel E. O'Connor