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GECCO
2010
Springer
254views Optimization» more  GECCO 2010»
14 years 25 days ago
Evolving viral marketing strategies
One method of viral marketing involves seeding certain consumers within a population to encourage faster adoption of the product throughout the entire population. However, determi...
Forrest Stonedahl, William Rand, Uri Wilensky
GECCO
2010
Springer
172views Optimization» more  GECCO 2010»
14 years 25 days ago
Designing better fitness functions for automated program repair
Evolutionary methods have been used to repair programs automatically, with promising results. However, the fitness function used to achieve these results was based on a few simpl...
Ethan Fast, Claire Le Goues, Stephanie Forrest, We...
GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
14 years 25 days ago
Transfer learning through indirect encoding
An important goal for the generative and developmental systems (GDS) community is to show that GDS approaches can compete with more mainstream approaches in machine learning (ML)....
Phillip Verbancsics, Kenneth O. Stanley
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
14 years 25 days ago
Evolving the placement and density of neurons in the hyperneat substrate
The Hypercube-based NeuroEvolution of Augmenting Topologies (HyperNEAT) approach demonstrated that the pattern of weights across the connectivity of an artificial neural network ...
Sebastian Risi, Joel Lehman, Kenneth O. Stanley
ICSE
2010
IEEE-ACM
14 years 25 days ago
Test generation through programming in UDITA
We present an approach for describing tests using nondeterministic test generation programs. To write such programs, we introduce UDITA, a Java-based language with non-determinist...
Milos Gligoric, Tihomir Gvero, Vilas Jagannath, Sa...
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