Probabilistic Adaptive Crossover Applied to Chilean Wine Classification
Joint Authors
Beltrán, N. H.
Salah, S. A.
Duarte-Mermoud, Manuel A.
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-15
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Recently, a new crossover technique for genetic algorithms has been proposed.
The technique, called probabilistic adaptive crossover (PAX), includes the estimation of the probability distribution of the population, storing the information regarding the best and the worst solutions of the problem being solved in a probability vector.
The use of the proposed technique to face Chilean wine classification based on chromatograms obtained from an HPLC is reported in this paper.
PAX is used in the first stage as the feature selection method and then support vector machines (SVM) and linear discriminant analysis (LDA) are used as classifiers.
The results are compared with those obtained using the uniform (discrete) crossover standard technique and a variant of PAX called mixed crossover.
American Psychological Association (APA)
Duarte-Mermoud, Manuel A.& Beltrán, N. H.& Salah, S. A.. 2013. Probabilistic Adaptive Crossover Applied to Chilean Wine Classification. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1032125
Modern Language Association (MLA)
Duarte-Mermoud, Manuel A.…[et al.]. Probabilistic Adaptive Crossover Applied to Chilean Wine Classification. Mathematical Problems in Engineering No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-1032125
American Medical Association (AMA)
Duarte-Mermoud, Manuel A.& Beltrán, N. H.& Salah, S. A.. Probabilistic Adaptive Crossover Applied to Chilean Wine Classification. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1032125
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032125