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129
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BMCBI
2010
141views more  BMCBI 2010»
15 years 3 months ago
Computing and visually analyzing mutual information in molecular co-evolution
Background: Selective pressure in molecular evolution leads to uneven distributions of amino acids and nucleotides. In fact one observes correlations among such constituents due t...
Sebastian Bremm, Tobias Schreck, Patrick Boba, Ste...
133
Voted
BMCBI
2010
110views more  BMCBI 2010»
15 years 3 months ago
Discovering local patterns of co - evolution: computational aspects and biological examples
Background: Co-evolution is the process in which two (or more) sets of orthologs exhibit a similar or correlative pattern of evolution. Co-evolution is a powerful way to learn abo...
Tamir Tuller, Yifat Felder, Martin Kupiec
BMCBI
2006
161views more  BMCBI 2006»
15 years 3 months ago
A novel approach to phylogenetic tree construction using stochastic optimization and clustering
Background: The problem of inferring the evolutionary history and constructing the phylogenetic tree with high performance has become one of the major problems in computational bi...
Ling Qin, Yixin Chen, Yi Pan, Ling Chen
156
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CEC
2009
IEEE
15 years 10 months ago
Evolving modular neural-networks through exaptation
— Despite their success as optimization methods, evolutionary algorithms face many difficulties to design artifacts with complex structures. According to paleontologists, living...
Jean-Baptiste Mouret, Stéphane Doncieux
138
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EUROGP
2009
Springer
125views Optimization» more  EUROGP 2009»
15 years 10 months ago
The Role of Population Size in Rate of Evolution in Genetic Programming
Abstract. Population size is a critical parameter that affects the performance of an Evolutionary Computation model. A variable population size scheme is considered potentially be...
Ting Hu, Wolfgang Banzhaf