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203
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GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 11 months ago
Toward comparison-based adaptive operator selection
Adaptive Operator Selection (AOS) turns the impacts of the applications of variation operators into Operator Selection through a Credit Assignment mechanism. However, most Credit ...
Álvaro Fialho, Marc Schoenauer, Michè...
GECCO
2010
Springer
172views Optimization» more  GECCO 2010»
15 years 11 months 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...
162
Voted
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
15 years 11 months ago
The maximum hypervolume set yields near-optimal approximation
In order to allow a comparison of (otherwise incomparable) sets, many evolutionary multiobjective optimizers use indicator functions to guide the search and to evaluate the perfor...
Karl Bringmann, Tobias Friedrich
GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
15 years 11 months 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
168views Optimization» more  GECCO 2010»
15 years 11 months ago
Investigating whether hyperNEAT produces modular neural networks
HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
Jeff Clune, Benjamin E. Beckmann, Philip K. McKinl...
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