TY - GEN
T1 - Memetic Beluga Whale Optimization for Feature Selection
AU - Gao, Jinrui
AU - Wang, Ziqian
AU - Zhang, Baohang
AU - Lei, Zhenyu
AU - Todo, Yuki
AU - Gao, Shangce
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - With the increase in the dimensionality of data, feature selection has gained significant attention in recent times. Feature selection is a complex task due to the large search space involved. Swarm intelligence has recently been successfully used to address feature selection problems because of its global search ability. However, Beluga Whale Optimization (BWO), a swarm intelligence algorithm, is seldom used for feature selection due to its limited exploration ability at the end of iterations. Therefore, this paper proposes a new method called Memetic Beluga Whale Optimization (MBWO). By adding local perturbation and modifying search operators, MBWO can result in better performance in feature selection. Experiments comparing MBWO with other algorithms also show that the efficiency of the MBWO algorithm has significantly improved by these modifications.
AB - With the increase in the dimensionality of data, feature selection has gained significant attention in recent times. Feature selection is a complex task due to the large search space involved. Swarm intelligence has recently been successfully used to address feature selection problems because of its global search ability. However, Beluga Whale Optimization (BWO), a swarm intelligence algorithm, is seldom used for feature selection due to its limited exploration ability at the end of iterations. Therefore, this paper proposes a new method called Memetic Beluga Whale Optimization (MBWO). By adding local perturbation and modifying search operators, MBWO can result in better performance in feature selection. Experiments comparing MBWO with other algorithms also show that the efficiency of the MBWO algorithm has significantly improved by these modifications.
KW - Beluga Whale Optimization
KW - Classification
KW - Feature selection
UR - http://www.scopus.com/inward/record.url?scp=85174746765&partnerID=8YFLogxK
U2 - 10.1109/IHMSC58761.2023.00009
DO - 10.1109/IHMSC58761.2023.00009
M3 - 会議への寄与
AN - SCOPUS:85174746765
T3 - Proceedings - 2023 15th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2023
SP - 1
EP - 5
BT - Proceedings - 2023 15th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2023
Y2 - 26 August 2023 through 27 August 2023
ER -