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GECCO
2006
Springer
213views Optimization» more  GECCO 2006»
15 years 11 months ago
Evolutionary unit testing of object-oriented software using strongly-typed genetic programming
Evolutionary algorithms have successfully been applied to software testing. Not only approaches that search for numeric test data for procedural test objects have been investigate...
Stefan Wappler, Joachim Wegener
GECCO
2010
Springer
158views Optimization» more  GECCO 2010»
15 years 11 months ago
Efficiently evolving programs through the search for novelty
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...
Joel Lehman, Kenneth O. Stanley
DIALM
2005
ACM
125views Algorithms» more  DIALM 2005»
15 years 9 months ago
Minimizing interference in ad hoc and sensor networks
Reducing interference is one of the main challenges in wireless communication, and particularly in ad hoc networks. The amount of interference experienced by a node v corresponds ...
Thomas Moscibroda, Roger Wattenhofer
BMCBI
2008
130views more  BMCBI 2008»
15 years 7 months ago
A database of phylogenetically atypical genes in archaeal and bacterial genomes, identified using the DarkHorse algorithm
Background: The process of horizontal gene transfer (HGT) is believed to be widespread in Bacteria and Archaea, but little comparative data is available addressing its occurrence ...
Sheila Podell, Terry Gaasterland, Eric E. Allen
CORR
2006
Springer
153views Education» more  CORR 2006»
15 years 7 months ago
Genetic Programming, Validation Sets, and Parsimony Pressure
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
Christian Gagné, Marc Schoenauer, Marc Pari...