Classification of Failure Using Decision Trees Induced by Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8772
- @Article{Rocha:2024:LAJC,
-
author = "Rogerio Costa Negro Rocha and Laercio Ives Santos and
Rafael Almeida Soares and Franciele Alves Barbosa and
Marcos Flavio Silveira Vasconcelos D'Angelo",
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title = "Classification of Failure Using Decision Trees Induced
by Genetic Programming",
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journal = "Latin-American Journal of Computing",
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year = "2024",
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volume = "11",
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number = "2",
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month = jul,
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keywords = "genetic algorithms, genetic programming, decision
trees, multiclass classification, fault detection,
Tennessee Eastman Process",
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ISSN = "1390-9266",
-
URL = "
https://lajc.epn.edu.ec/index.php/LAJC/article/view/384",
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URL = "
https://lajc.epn.edu.ec/index.php/LAJC/article/view/384/287",
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broken = "202410.5281/zenodo.12192085",
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size = "9 pages",
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abstract = "Fault classification in industrial processes is of
paramount importance, as it allows the implementation
of preventive and corrective measures before
catastrophic failures occur, which can result in
significant repair costs and production loss, for
example. Therefore, the purpose of this study was to
develop a classification model by merging the concepts
of Decision Trees with Genetic Programming. To
accomplish this, the proposed model randomly generates
a set of decision trees using the adapted Tennessee
Eastman dataset. The generation of these trees does not
rely on classical construction logic; instead, they
employ an approach where the structure and
characteristics of the trees are randomly determined
and adjusted throughout the evolutionary process. This
approach enables a broader exploration of the search
space and may lead to diverse solutions. The results
obtained were moderate, largely due to the high number
of target classes for classification (21 classes),
resulting in the creation of complex trees. The average
accuracy on the test data was 0.75, indicating the need
to implement new alternatives and enhancements in the
algorithm to improve the results.",
-
notes = "In English lajc@epn.edu.ec",
- }
Genetic Programming entries for
Rogerio Costa Negro Rocha
Laercio Ives Santos
Rafael Almeida Soares
Franciele Alves Barbosa
Marcos Flavio Silveira Vasconcelos D'Angelo
Citations