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» The State Problem for Evolutionary Testing
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CEC
2007
IEEE
14 years 2 months ago
On performance metrics and particle swarm methods for dynamic multiobjective optimization problems
— This paper describes two performance measures for measuring an EMO (Evolutionary Multiobjective Optimization) algorithm’s ability to track a time-varying Paretofront in a dyn...
Xiaodong Li, Jürgen Branke, Michael Kirley
NIPS
2008
13 years 10 months ago
Efficient Inference in Phylogenetic InDel Trees
Accurate and efficient inference in evolutionary trees is a central problem in computational biology. While classical treatments have made unrealistic site independence assumption...
Alexandre Bouchard-Côté, Michael I. J...
BMCBI
2010
150views more  BMCBI 2010»
13 years 8 months ago
Evolutionary rates at codon sites may be used to align sequences and infer protein domain function
Background: Sequence alignments form part of many investigations in molecular biology, including the determination of phylogenetic relationships, the prediction of protein structu...
Pierre M. Durand, Scott Hazelhurst, Theresa L. Coe...
ACL
2008
13 years 10 months ago
Arabic Language Modeling with Finite State Transducers
In morphologically rich languages such as Arabic, the abundance of word forms resulting from increased morpheme combinations is significantly greater than for languages with fewer...
Ilana Heintz
CEC
2010
IEEE
13 years 4 days ago
Evoptool: An extensible toolkit for evolutionary optimization algorithms comparison
— This paper presents Evolutionary Optimization Tool (Evoptool), an optimization toolkit that implements a set of meta-heuristics based on the Evolutionary Computation paradigm. ...
Gabriele Valentini, Luigi Malagò, Matteo Ma...