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» Optimizing for Reduced Code Space using Genetic Algorithms
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PPSN
2000
Springer
15 years 6 months ago
Optimizing through Co-evolutionary Avalanches
Abstract. We explore a new general-purpose heuristic for nding highquality solutions to hard optimization problems. The method, called extremal optimization, is inspired by self-or...
Stefan Boettcher, Allon G. Percus, Michelangelo Gr...
PASTE
2010
ACM
15 years 7 months ago
Expect the unexpected: error code mismatches between documentation and the real world
Inaccurate documentation can mislead programmers and cause software to fail in unexpected ways. We examine mismatches between documented and actual error codes returned by 42 Linu...
Cindy Rubio-González, Ben Liblit
129
Voted
IPPS
2000
IEEE
15 years 7 months ago
Parallel Computation for Chromosome Reconstruction on a Cluster of Workstations
Reconstructing a physical map of a chromosome from a genomic library presents a central computational problem in genetics. Physical map reconstruction in the presence of errors is...
Suchendra M. Bhandarkar, Salem Machaka, Sanjay She...
130
Voted
CEC
2009
IEEE
15 years 9 months ago
What is situated evolution?
—In this paper we discuss the notion of situated evolution. Our treatment includes positioning situated evolution on the map of evolutionary processes in terms of time- and space...
Martijn C. Schut, Evert Haasdijk, A. E. Eiben
BMCBI
2010
161views more  BMCBI 2010»
14 years 12 months ago
LTC: a novel algorithm to improve the efficiency of contig assembly for physical mapping in complex genomes
Background: Physical maps are the substrate of genome sequencing and map-based cloning and their construction relies on the accurate assembly of BAC clones into large contigs that...
Zeev Frenkel, Etienne Paux, David I. Mester, Cathe...