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» Fine-Grained Timing Using Genetic Programming
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PLDI
2004
ACM
14 years 3 months ago
Fast searches for effective optimization phase sequences
It has long been known that a fixed ordering of optimization phases will not produce the best code for every application. One approach for addressing this phase ordering problem ...
Prasad Kulkarni, Stephen Hines, Jason Hiser, David...
GECCO
2010
Springer
172views Optimization» more  GECCO 2010»
14 years 2 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...
ASC
2004
13 years 9 months ago
Extracting rules from trained neural network using GA for managing E-business
Theabilitytointelligentlycollect,manageandanalyzeinformationaboutcustomersandsellersisakeysourceofcompetitive advantage for an e-business. This ability provides an opportunity to ...
Atta Ebrahim E. ElAlfi, R. Haque, M. Esmel ElAlami
COR
2007
80views more  COR 2007»
13 years 9 months ago
Scheduling with tool changes to minimize total completion time under controllable machining conditions
Scheduling under controllable machining conditions has been studied for some time. Scheduling with tool changes, particularly due to tool wear, has just begun to receive attention...
M. Selim Akturk, Jay B. Ghosh, Rabia K. Kayan
INFOCOM
2010
IEEE
13 years 8 months ago
Asymmetry-Aware Real-Time Distributed Joint Resource Allocation in IEEE 802.22 WRANs
—In IEEE 802.22 Wireless Regional Area Networks (WRANs), each Base Station (BS) solves a complex resource allocation problem of simultaneously determining the channel to reuse, p...
Hyoil Kim, Kang G. Shin