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GECCO
2006
Springer
206views Optimization» more  GECCO 2006»
15 years 3 months ago
A dynamically constrained genetic algorithm for hardware-software partitioning
In this article, we describe the application of an enhanced genetic algorithm to the problem of hardware-software codesign. Starting from a source code written in a high-level lan...
Pierre-André Mudry, Guillaume Zufferey, Gia...
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
15 years 5 months ago
An approach for QoS-aware service composition based on genetic algorithms
Web services are rapidly changing the landscape of software engineering. One of the most interesting challenges introduced by web services is represented by Quality Of Service (Qo...
Gerardo Canfora, Massimiliano Di Penta, Raffaele E...
GECCO
2010
Springer
158views Optimization» more  GECCO 2010»
15 years 4 months ago
A genetic algorithm to improve linux kernel performance on resource-constrained devices
As computers become increasingly mobile, users demand more functionality, longer battery-life, and better performance from mobile devices. In response, chipset fabricators are foc...
James Kukunas, Robert D. Cupper, Gregory M. Kapfha...
GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
14 years 3 months ago
Evolution of reward functions for reinforcement learning
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
Scott Niekum, Lee Spector, Andrew G. Barto
GECCO
2004
Springer
137views Optimization» more  GECCO 2004»
15 years 5 months ago
Achieving Shorter Search Times in Voice Conversion Using Interactive Evolution
We have already proposed using evolutionary computation to adjust the voice quality conversion parameters, and we have reported that this approach produces results that are not onl...
Yuji Sato