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» Fine-Grained Timing Using Genetic Programming
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COR
2007
133views more  COR 2007»
13 years 9 months ago
Reverse logistics network design with stochastic lead times
This work is concerned with the efficient design of a reverse logistics network using an extended version of models currently found in the literature. Those traditional, basic mo...
Kris Lieckens, Nico Vandaele
GECCO
2010
Springer
158views Optimization» more  GECCO 2010»
14 years 2 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...
BMCBI
2010
108views more  BMCBI 2010»
13 years 10 months ago
Confronting two-pair primer design for enzyme-free SNP genotyping based on a genetic algorithm
Background: Polymerase chain reaction with confronting two-pair primers (PCR-CTPP) method produces allelespecific DNA bands of different lengths by adding four designed primers an...
Cheng-Hong Yang, Yu-Huei Cheng, Li-Yeh Chuang, Hsu...
KES
1999
Springer
14 years 2 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
ISMB
1994
13 years 11 months ago
High Speed Pattern Matching in Genetic Data Base with Reconfigurable Hardware
Homologydetection in large data bases is probably the most time consuming operation in molecular genetic computing systems. Moreover, the progresses made all around the world conc...
Eric Lemoine, Joël Quinqueton, Jean Sallantin