Learning classification rules from an ion chromatography database using a genetic based classifier system

Kampen, Antoine H. C. van; Ramadan, Ziad; Mulholland, M.; Hibbert, David Brynn; Buydens, L.M.C.

doi:10.1016/s0003-2670(96)00629-0

Cited by 10 publications

(2 citation statements)

References 34 publications

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“…In the case of a medium-size protein (100 residues), if there are no constraints, the number of conformations can be approximated to (5 torsion angles per residue Â 5 likely values per torsion angle) 100 = 25 100 . In such a large search space, clearly beyond the capacity of any supercomputer, the GA is able to find suboptimal solutions.…”

Section: Application Of Gas In Molecular Modellingmentioning

confidence: 99%

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Genetic algorithms in chemometrics and chemistry: a review

Leardi

2001

Journal of Chemometrics

354

176

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SUMMARYThe use of genetic algorithms has been growing exponentially since Holland published the first papers about them. Thanks to the extraordinary increase in calculation power, nowadays it is possible to apply them to extremely complex problems. A considerable number of papers in which genetic algorithms have been applied have been published in several scientifical journals. This review is of course far from being a complete summary of the application of genetic algorithms to chemical problems; its goal is to show the reader the main fields of application of this technique, together with providing a list of references on the subject.

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Section: Application Of Gas In Molecular Modellingmentioning

confidence: 99%

“…In classification, van Kampen et al [100] developed a classifier system based on GA methodology for the automatic extraction of classification rules from a database of about 6000 ion chromatography method examples.…”

Section: Miscellaneousmentioning

confidence: 99%