TY - JOUR
T1 - B-PSA
T2 - A Binary Pendulum Search Algorithm for the Feature Selection Problem
AU - Crawford, Broderick
AU - Cisternas-Caneo, Felipe
AU - Sepúlveda, Katherine
AU - Soto, Ricardo
AU - Paz, Álex
AU - Peña, Alvaro
AU - León de la Barra, Claudio
AU - Rodriguez-Tello, Eduardo
AU - Astorga, Gino
AU - Castro, Carlos
AU - Johnson, Franklin
AU - Giachetti, Giovanni
N1 - Publisher Copyright:
© 2023 by the authors.
PY - 2023/12
Y1 - 2023/12
N2 - The digitization of information and technological advancements have enabled us to gather vast amounts of data from various domains, including but not limited to medicine, commerce, and mining. Machine learning techniques use this information to improve decision-making, but they have a big problem: they are very sensitive to data variation, so it is necessary to clean them to remove irrelevant and redundant information. This removal of information is known as the Feature Selection Problem. This work presents the Pendulum Search Algorithm applied to solve the Feature Selection Problem. As the Pendulum Search Algorithm is a metaheuristic designed for continuous optimization problems, a binarization process is performed using the Two-Step Technique. Preliminary results indicate that our proposal obtains competitive results when compared to other metaheuristics extracted from the literature, solving well-known benchmarks.
AB - The digitization of information and technological advancements have enabled us to gather vast amounts of data from various domains, including but not limited to medicine, commerce, and mining. Machine learning techniques use this information to improve decision-making, but they have a big problem: they are very sensitive to data variation, so it is necessary to clean them to remove irrelevant and redundant information. This removal of information is known as the Feature Selection Problem. This work presents the Pendulum Search Algorithm applied to solve the Feature Selection Problem. As the Pendulum Search Algorithm is a metaheuristic designed for continuous optimization problems, a binarization process is performed using the Two-Step Technique. Preliminary results indicate that our proposal obtains competitive results when compared to other metaheuristics extracted from the literature, solving well-known benchmarks.
KW - binarization schemes
KW - combinatorial optimization
KW - Feature Selection Problem
KW - Pendulum Search Algorithm
UR - http://www.scopus.com/inward/record.url?scp=85180641619&partnerID=8YFLogxK
U2 - 10.3390/computers12120249
DO - 10.3390/computers12120249
M3 - Article
AN - SCOPUS:85180641619
SN - 2073-431X
VL - 12
JO - Computers
JF - Computers
IS - 12
M1 - 249
ER -