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» On Computing Functions with Uncertainty
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AI
2006
Springer
13 years 8 months ago
Backward-chaining evolutionary algorithms
Starting from some simple observations on a popular selection method in Evolutionary Algorithms (EAs)--tournament selection--we highlight a previously-unknown source of inefficien...
Riccardo Poli, William B. Langdon
ALMOB
2006
106views more  ALMOB 2006»
13 years 8 months ago
Multiple sequence alignment with user-defined anchor points
Background: Automated software tools for multiple alignment often fail to produce biologically meaningful results. In such situations, expert knowledge can help to improve the qua...
Burkhard Morgenstern, Sonja J. Prohaska, Dirk P&ou...
BMCBI
2006
94views more  BMCBI 2006»
13 years 8 months ago
Metabolite coupling in genome-scale metabolic networks
Background: Biochemically detailed stoichiometric matrices have now been reconstructed for various bacteria, yeast, and for the human cardiac mitochondrion based on genomic and pr...
Scott A. Becker, Nathan D. Price, Bernhard O. Pals...
BMCBI
2006
101views more  BMCBI 2006»
13 years 8 months ago
SuperMimic - Fitting peptide mimetics into protein structures
Background: Various experimental techniques yield peptides that are biologically active but have unfavourable pharmacological properties. The design of structurally similar organi...
Andrean Goede, Elke Michalsky, Ulrike Schmidt, Rob...
BMCBI
2006
146views more  BMCBI 2006»
13 years 8 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
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