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Cited by 397Spectroscopy and Chemometric AnalysesMetaheuristic Optimization Algorithms ResearchEvolutionary Algorithms and Applications

Genetic algorithms in chemometrics and chemistry: a review

Leardi, Riccardo·2001·Journal of Chemometrics
DOI 10.1002/cem.651
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Abstract

The 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. Copyright © 2001 John Wiley & Sons, Ltd.

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References 105 · Cited by 397

Authors
Leardi, R.
Affiliations
University of Genoa (IT)
Corresponding author
Leardi, Riccardo
ORCID
Leardi, Riccardo
Venue
Journal of Chemometrics
Publisher
Wiley
Published
2001-06-29
Volume
15
Issue
7
Pages
559-569
ISSN
  • 0886-9383 (ISSN-L)
  • 1099-128X
DOI
10.1002/cem.651
OpenAlex
W2170796849
Cited by
397
References
105
Citations by year
2026: 7 · 2025: 15 · 2024: 12 · 2023: 14 · 2022: 13 · 2021: 14 · 2020: 20 · 2019: 15 · 2018: 22 · 2017: 17 · 2016: 14 · 2015: 20 · 2014: 13 · 2013: 21 · 2012: 25
FWCI
10.24
Type
journal article
Language
en
Open access
closed
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor)
Locations
  • Journal of Chemometrics (publishedVersion)
  • CINECA IRIS Institutial Research Information System (University of Genoa) (submittedVersion)
Topics
  • Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
  • Physical Sciences › Computer Science › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
  • Physical Sciences › Computer Science › Artificial Intelligence › Evolutionary Algorithms and Applications
Keywords
genetic algorithm, chemometrics, applied chemistry, optimization, evolutionary computation

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