Conjugate gradient methods without line search for multiobjective optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Wang, Zhao, Yong, Tang, Liping, Yang, Xinmin
Format:	Preprint
Published:	2023
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the convergence of conditional gradient method for unbounded multiobjective optimization problems
by: Chen, Wang, et al.
Published: (2024)

Generalized conditional gradient methods for multiobjective composite optimization problems with H{ö}lder condition
by: Chen, Wang, et al.
Published: (2024)

An accelerated gradient method with adaptive restart for convex multiobjective optimization problems
by: Luo, Hao, et al.
Published: (2025)

Obtaining properly Pareto optimal solutions of multiobjective optimization problems via the branch and bound method
by: Wu, Weitian, et al.
Published: (2024)

Improvements to steepest descent method for multi-objective optimization
by: Chen, Wang, et al.
Published: (2023)

Universal nonmonotone line search method for nonconvex multiobjective optimization problems with convex constraints
by: Pinheiro, Maria Eduarda, et al.
Published: (2024)

Adaptive generalized conditional gradient method for multiobjective optimization
by: Gebrie, Anteneh Getachew, et al.
Published: (2024)

A global Barzilai and Borwein's gradient normalization descent method for multiobjective optimization
by: Yang, Yingxue
Published: (2024)

Mirror descent method for stochastic multi-objective optimization
by: Yang, Linxi, et al.
Published: (2024)

An effective subgradient algorithm via Mifflin's line search for nonsmooth nonconvex multiobjective optimization
by: Maleknia, Morteza, et al.
Published: (2024)

Efficient search strategies for constrained multiobjective blackbox optimization
by: Digabel, Sébastien Le, et al.
Published: (2025)

A simple uniformly optimal method without line search for convex optimization
by: Li, Tianjiao, et al.
Published: (2023)

An accelerated primal-dual flow for linearly constrained multiobjective optimization
by: Luo, Hao, et al.
Published: (2025)

On the approximation error for approximating convex bodies using multiobjective optimization
by: Löhne, Andreas, et al.
Published: (2021)

Global convergence of a modified BFGS-type method based on function information for nonconvex multiobjective optimization problems
by: Yang, Yingxue
Published: (2024)

Analytic analysis of the worst-case complexity of the gradient method with exact line search and the Polyak stepsize
by: Huang, Ya-Kui, et al.
Published: (2024)

A Subspace Minimization Barzilai-Borwein Method for Multiobjective Optimization Problems
by: Chen, Jian, et al.
Published: (2024)

Scaled Proximal Gradient Methods for Multiobjective Optimization: Improved Linear Convergence and Nesterov's Acceleration
by: Chen, Jian, et al.
Published: (2024)

A descent method for nonsmooth multiobjective optimization problems on Riemannian manifolds
by: Tang, Chunming, et al.
Published: (2023)

Approximate solutions in multiobjective interval-valued optimization problems: Existence theorems and optimality conditions
by: Zhang, Chuang-liang, et al.
Published: (2025)

Last-iterate convergence of modified predictive method via high-resolution differential equation on bilinear game
by: Li, Keke, et al.
Published: (2024)

A proximal subgradient algorithm for constrained multiobjective DC-type optimization
by: Van Tuyen, Nguyen, et al.
Published: (2025)

Riemannian conditional gradient methods for composite optimization problems
by: Chen, Kangming, et al.
Published: (2024)

A line search framework with restarting for noisy optimization problems
by: Berahas, Albert S., et al.
Published: (2025)

Global convergence of a BFGS-type algorithm for nonconvex multiobjective optimization problems
by: Prudente, L. F., et al.
Published: (2023)

Approximate Bregman proximal gradient algorithm with variable metric Armijo--Wolfe line search
by: Fujiki, Kiwamu, et al.
Published: (2025)

Randomized gradient-free methods in convex optimization
by: Gasnikov, Alexander, et al.
Published: (2022)

Decentralized Conjugate Gradient and Memoryless BFGS Methods
by: Wang, Liping, et al.
Published: (2024)

First-order Methods for Unconstrained Vector Optimization Problems: A Unified Majorization-Minimization Perspective
by: Chen, Jian, et al.
Published: (2024)

Modified Armijo line search in optimization on Riemannian submanifolds with reduced computational cost
by: Sato, Hiroyuki, et al.
Published: (2023)

Improved conditional gradient method for the generalized cone order optimization problem on the local sphere
by: Zhou, Li-wen, et al.
Published: (2024)

Decision support for sustainable forest harvest planning using multi-scenario multiobjective robust optimization
by: Shavazipour, Babooshka, et al.
Published: (2024)

Integral control of the proximal gradient method for unbiased sparse optimization
by: Cerone, V., et al.
Published: (2025)

Common pitfalls to avoid while using multiobjective optimization in machine learning
by: Akhter, Junaid, et al.
Published: (2024)

Gradient-based algorithms for multi-objective bi-level optimization
by: Yang, Xinmin, et al.
Published: (2024)

qPOTS: Efficient batch multiobjective Bayesian optimization via Pareto optimal Thompson sampling
by: Renganathan, Ashwin, et al.
Published: (2023)

Nonlinear conjugate gradient method for vector optimization on Riemannian manifolds with retraction and vector transport
by: Chen, Kangming, et al.
Published: (2023)

Stochastic smoothing accelerated gradient method for general constrained nonsmooth convex composite optimization
by: Wang, Ruyu, et al.
Published: (2023)

A unified framework for inexact adaptive stepsizes in the gradient methods, the conjugate gradient methods and the quasi-Newton methods for strictly convex quadratic optimization
by: Liu, Zexian
Published: (2026)

Preconditioned Proximal Gradient Methods with Conjugate Momentum: A Subspace Perspective
by: Chen, Jian, et al.
Published: (2026)