MANIPULATION OF METAHEURISTICS FOR THE SEARCH OF TYPICAL TESTERS

ALEXIS EDMUNDO GALLEGOS ACOSTA; MARIA DOLORES TORRES  SOTO; FRANCISCO JAVIER ALVAREZ RODRIGUEZ; AURORA TORRES SOTO

doi:https://doi.org/10.6036/9375

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MANIPULATION OF METAHEURISTICS FOR THE SEARCH OF TYPICAL TESTERS

JANUARY 2020 - Volume: 95 - Pages: 11

DOI:

https://doi.org/10.6036/9375

Authors:

ALEXIS EDMUNDO GALLEGOS ACOSTA -

MARIA DOLORES TORRES SOTO

FRANCISCO JAVIER ALVAREZ RODRIGUEZ

AURORA TORRES SOTO

Disciplines:

Computer Sciences (ARTIFICIAL INTELLIGENCE / INTELIGENCIA ARTIFICIAL )

Downloads: 14

Cites in Web of Science: 1

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Key words:: Operador de alteración, algoritmo genético, algoritmo de estimación de la distribución, teoría de testores, selección de subconjuntos de características
Article type:: NOTA TECNICA / TECHNICAL NOTE
Section:: TECHNICAL NOTE

One of the tasks of pattern recognition is the selection of subsets of characteristics (SSC), which makes it possible to identify characteristics that provide relevant information. There are different approaches to apply SSC being the logical-combinatory approach through the theory of testers, a widely used tool. A testor is a subset of characteristics capable of distinguishing objects of different classes. Testers in their minimal expression are known as typical testers (TT). Finding them allows distinguishing relevant variables from redundant or irrelevant ones, so that data analysis models become simpler and more understandable, improving their performance and decreasing computational requirements.

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