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» Genetic algorithms using low-discrepancy sequences
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BMCBI
2006
99views more  BMCBI 2006»
15 years 3 months ago
Genetic algorithm learning as a robust approach to RNA editing site prediction
Background: RNA editing is one of several post-transcriptional modifications that may contribute to organismal complexity in the face of limited gene complement in a genome. One f...
James Thompson, Shuba Gopal
GECCO
2006
Springer
213views Optimization» more  GECCO 2006»
15 years 7 months ago
Evolutionary unit testing of object-oriented software using strongly-typed genetic programming
Evolutionary algorithms have successfully been applied to software testing. Not only approaches that search for numeric test data for procedural test objects have been investigate...
Stefan Wappler, Joachim Wegener
MAM
2007
157views more  MAM 2007»
15 years 3 months ago
Executing large algorithms on low-capacity FPGAs using flowpath partitioning and runtime reconfiguration
This paper describes a new method of executing a software program on an FPGA for embedded systems. Rather than combine reconfigurable logic with a microprocessor core, this method...
Darrin M. Hanna, Michael DuChene
WSCG
2003
223views more  WSCG 2003»
15 years 4 months ago
Optimizing Parameters of a Motion Detection System by Means of a Genetic Algorithm
Visual surveillance and monitoring have aroused interest in the computer video community for many years. The main task of these applications is to identify (and track) moving targ...
Alessandro Bevilacqua
CORR
2004
Springer
168views Education» more  CORR 2004»
15 years 3 months ago
Estimating Genome Reversal Distance by Genetic Algorithm
Sorting by reversals is an important problem in inferring the evolutionary relationship between two genomes. The problem of sorting unsigned permutation has been proven to be NP-ha...
Andy Auyeung, Ajith Abraham