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» Improving EAs for Sequencing Problems
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CIBCB
2007
IEEE
14 years 2 months ago
Overestimation for Multiple Sequence Alignment
Abstract— Multiple sequence alignment is an important problem in computational biology. A-star is an algorithm that can be used to find exact alignments. We present a simple mod...
Tristan Cazenave
BPM
2010
Springer
128views Business» more  BPM 2010»
13 years 8 months ago
Content-Aware Resolution Sequence Mining for Ticket Routing
Ticket routing is key to the efficiency of IT problem management. Due to the complexity of many reported problems, problem tickets typically need to be routed among various expert ...
Peng Sun, Shu Tao, Xifeng Yan, Nikos Anerousis, Yi...
BMCBI
2008
128views more  BMCBI 2008»
13 years 8 months ago
Pairwise covariance adds little to secondary structure prediction but improves the prediction of non-canonical local structure
Background: Amino acid sequence probability distributions, or profiles, have been used successfully to predict secondary structure and local structure in proteins. Profile models ...
Christopher Bystroff, Bobbie-Jo M. Webb-Robertson
HEURISTICS
2010
13 years 5 months ago
A shift sequence based approach for nurse scheduling and a new benchmark dataset
This paper investigates an adaptive constructive method for solving nurse rostering problems. The constraints considered in the problems are categorised into three classes: those t...
Peter Brucker, Edmund K. Burke, Timothy Curtois, R...
CP
2007
Springer
14 years 2 months ago
Encodings of the Sequence Constraint
Abstract. The SEQUENCE constraint is useful in modelling car sequencing, rostering, scheduling and related problems. We introduce half a dozen new encodings of the SEQUENCE constra...
Sebastian Brand, Nina Narodytska, Claude-Guy Quimp...