Feature selection is becoming a relevant problem within the field of machine learning. The
feature selection problem focuses on the selection of the small, necessary, and sufficient …

Unmanned aerial vehicle (UAV) path planning aims to find the optimal flight path from the
start point to the destination point for each aerial vehicle. With the rapid development of UAV …

Feature selection is a crucial data preprocessing technique that effectively reduces the
dataset size and enhances the performance of machine learning models. Evolutionary …

The development of data sensing technology has generated a vast amount of high-
dimensional data, posing great challenges for machine learning models. Over the past …

SAEA, mainly including regression-based surrogate-assisted evolutionary algorithms
(SAEAs) and classification-based SAEAs, are promising for solving expensive multiobjective …

Gene selection (GS) is an important branch of interest within the field of feature selection,
which is widely used in cancer classification. It provides essential insights into the …

Abstract Background and Objective The limited number of samples and high-dimensional
features in microarray data make selecting a small number of features for disease diagnosis …

For modern information systems, robust access control mechanisms are vital in
safeguarding data integrity and ensuring the entire system's security. This paper proposes a …

Multilabel learning is an emergent topic that addresses the challenge of associating multiple
labels with a single instance simultaneously. Multilabel datasets often exhibit high …

In the process industries, where orders arrive at irregular intervals, inappropriate
maintenance frequency often leads to unplanned shutdowns of high-speed parallel …