$\ell_0$-Norm Multiobjective Optimization Models Motivated by Applications to Proton Therapy

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Cong, Xiaoda, Ding, Xuanfeng, Mordukhovich, Boris, Nguyen, Anh Vu, Zhao, Lewei
Format: Preprint
Published: 2025
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866912577737457664
author Cong, Xiaoda
Ding, Xuanfeng
Mordukhovich, Boris
Nguyen, Anh Vu
Zhao, Lewei
author_facet Cong, Xiaoda
Ding, Xuanfeng
Mordukhovich, Boris
Nguyen, Anh Vu
Zhao, Lewei
contents The paper is devoted to investigating single-objective and multiobjective optimization problems involving the $\ell_0$-norm function, which is nonconvex and nondifferentiable. Our motivation comes from proton beam therapy models in cancer research. The developed approach uses subdifferential tools of variational analysis and the Gerstewitz (Tammer) scalarization function in multiobjective optimization. Based on this machinery, we propose several algorithms of the subgradient type and conduct their convergence analysis. The obtained results are illustrated by numerical examples, which reveal some characteristic features of the proposed algorithms and their interactions with the gradient descent.
format Preprint
id arxiv_https___arxiv_org_abs_2509_06833
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle $\ell_0$-Norm Multiobjective Optimization Models Motivated by Applications to Proton Therapy
Cong, Xiaoda
Ding, Xuanfeng
Mordukhovich, Boris
Nguyen, Anh Vu
Zhao, Lewei
Optimization and Control
90C26, 90C29, 49J52
The paper is devoted to investigating single-objective and multiobjective optimization problems involving the $\ell_0$-norm function, which is nonconvex and nondifferentiable. Our motivation comes from proton beam therapy models in cancer research. The developed approach uses subdifferential tools of variational analysis and the Gerstewitz (Tammer) scalarization function in multiobjective optimization. Based on this machinery, we propose several algorithms of the subgradient type and conduct their convergence analysis. The obtained results are illustrated by numerical examples, which reveal some characteristic features of the proposed algorithms and their interactions with the gradient descent.
title $\ell_0$-Norm Multiobjective Optimization Models Motivated by Applications to Proton Therapy
topic Optimization and Control
90C26, 90C29, 49J52
url https://arxiv.org/abs/2509.06833