2025-01-14-yifan25a.md

title	A Novel Evolutionary Multitasking Feature Selection Approach for Genomic Data Classification
booktitle	Proceedings of the 16th Asian Conference on Machine Learning
year	2025
volume	260
series	Proceedings of Machine Learning Research
month	0
publisher	PMLR
pdf	https://raw.githubusercontent.com/mlresearch/v260/main/assets/yifan25a/yifan25a.pdf
url	https://proceedings.mlr.press/v260/yifan25a.html
openreview	H64wEGYdEC
abstract	Microarray-generated genomic data has recently sparked a wave of bioinformatics and data mining research. However, such data presents significant challenges for further analysis due to its high dimensionality and small sample sizes. Feature selection is a standard approach to address this issue, as it can enhance classification performance while reducing dimensionality. This paper introduces an Improved Gray Wolf Optimization-based Evolutionary Multitasking (EMT-IGWO) feature selection approach tailored for high-dimensional classification. It adopts multi-population co-evolving searching modes that can be regarded as a typical feature selection task via a specific information-sharing mechanism. Within the proposed multitasking framework, both population diversity and global searching capabilities of EMT-IGWO are improved. Moreover, several enhancements are incorporated into the two searching modes to help stagnant individuals escape from local optima with higher probabilities. Computational results show that EMT-IGWO outperforms other compared algorithms in effectiveness and efficiency evaluated across eight public gene expression datasets.
layout	inproceedings
issn	2640-3498
id	yifan25a
tex_title	A Novel Evolutionary Multitasking Feature Selection Approach for Genomic Data Classification
firstpage	33
lastpage	48
page	33-48
order	33
cycles	false
bibtex_editor	Nguyen, Vu and Lin, Hsuan-Tien
editor	given family Vu Nguyen given family Hsuan-Tien Lin
bibtex_author	Yifan, Yu and Dazhi, Wang and Yanhua, Chen and Hongfeng, Wang and Min, Huang
author	given family Yu Yifan given family Wang Dazhi given family Chen Yanhua given family Wang Hongfeng given family Huang Min
date	2025-01-14
address
container-title	Proceedings of the 16th Asian Conference on Machine Learning
genre	inproceedings
issued	date-parts 2025 1 14
extras