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» Using Genetic Programming to Increase Rule Quality
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GECCO
2010
Springer
158views Optimization» more  GECCO 2010»
14 years 1 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...
LPAR
2004
Springer
14 years 2 months ago
Weighted Answer Sets and Applications in Intelligence Analysis
The extended answer set semantics for simple logic programs, i.e. programs with only classical negation, allows for the defeat of rules to resolve contradictions. In addition, a pa...
Davy Van Nieuwenborgh, Stijn Heymans, Dirk Vermeir
KES
1999
Springer
14 years 1 months ago
Dynamic Demes parallel genetic algorithm
Abstract—Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-sla...
Mariusz Nowostawski, Riccardo Poli
DATE
2000
IEEE
132views Hardware» more  DATE 2000»
14 years 1 months ago
Automatic Test Bench Generation for Validation of RT-Level Descriptions: An Industrial Experience
In current microprocessors and systems, an increasingly high silicon portion is derived through automatic synthesis, with designers working exclusively at the RT-level, and design...
Fulvio Corno, Matteo Sonza Reorda, Giovanni Squill...
ICSE
2011
IEEE-ACM
13 years 14 days ago
Configuring global software teams: a multi-company analysis of project productivity, quality, and profits
In this paper, we examined the impact of project-level configurational choices of globally distributed software teams on project productivity, quality, and profits. Our analysis u...
Narayan Ramasubbu, Marcelo Cataldo, Rajesh Krishna...