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In this paper, we establish the existence of the efficient solutions for polynomial vector optimization problems on a nonempty closed constraint set without any convexity and compactness assumptions. We first introduce the relative…

Optimization and Control · Mathematics 2025-08-08 Danyang Liu

The paper is devoted to the existence of global optimal solutions for a general class of nonsmooth problems of constrained vector optimization without boundedness assumptions on constraint sets. The main attention is paid to the two major…

Optimization and Control · Mathematics 2018-05-02 Do Sang Kim , Boris S. Mordukhovich , Tien-Son Pham , Nguyen Van Tuyen

The paper is devoted to the existence of weak Pareto solutions and the weak sharp minima at infinity property for a general class of constrained nonconvex vector optimization problems with unbounded constraint set via asymptotic cones and…

Optimization and Control · Mathematics 2025-10-14 Tran Van Nghi , Le Ngoc Kien , Nguyen Van Tuyen

In this paper, we present some new necessary and sufficient optimality conditions in terms of the Clarke subdifferentials for approximate Pareto solutions of a nonsmooth vector optimization problem which has an infinite number of…

Optimization and Control · Mathematics 2019-05-14 Ta Quang Son , Nguyen Van Tuyen , Ching-Feng Wen

In this paper, we introduce a new class of optimization problems whose objective functions are weakly homogeneous relative to the constraint sets. By using the normalization argument in asymptotic analysis, we prove two criteria for the…

Optimization and Control · Mathematics 2022-04-29 Vu Trung Hieu

In this paper, we are interested in the existence of Pareto solutions to vector polynomial optimization problems over a basic closed semi-algebraic set. By invoking some powerful tools from real semi-algebraic geometry, we first introduce…

Optimization and Control · Mathematics 2022-02-22 Yarui Duan , Liguo Jiao , Pengcheng Wu , Yuying Zhou

This paper considers mathematical programs, whose constraints are expressed by a parameterized vector equilibrium problem. The latter is a well recognized framework, which is able to cover multicriteria optimization, vector variational…

Optimization and Control · Mathematics 2022-10-18 Amos Uderzo

In this paper, we propose criteria for unboundedness of the images of set-valued mappings having closed graphs in Euclidean spaces. We focus on mappings whose domains are non-closed or whose values are connected. These criteria allow us to…

Optimization and Control · Mathematics 2024-09-24 Vu Trung Hieu , Elisabeth Anna Sophia Köbis , Markus Arthur Köbis , Paul Hugo Schmölling

In this paper we consider the solvability of a non-convex regular polynomial vector optimization problem on a nonempty closed set. We introduce regularity conditions for the polynomial vector optimization problem and study properties and…

Optimization and Control · Mathematics 2021-01-12 Danyang Liu , Rong Hu , Yaping Fang

We are interested in the existence of Pareto solutions to the vector optimization problem $$\text{Min}_{\,\mathbb{R}^m_+} \{f(x) \,|\, x\in \mathbb{R}^n\},$$ where $f\colon\mathbb{R}^n\to \mathbb{R}^m$ is a polynomial map. By using the {\em…

Optimization and Control · Mathematics 2018-04-16 Do Sang Kim , Tien-Son Pham , Nguyen Van Tuyen

In multi-objective optimization, a single decision vector must balance the trade-offs between many objectives. Solutions achieving an optimal trade-off are said to be Pareto optimal: these are decision vectors for which improving any one…

Optimization and Control · Mathematics 2023-08-07 Abhishek Roy , Geelon So , Yi-An Ma

In the present paper, several types of efficiency conditions are established for vector optimization problems with cone constraints affected by uncertainty, but with no information of stochastic nature about the uncertain data. Following a…

Optimization and Control · Mathematics 2021-02-01 Amos Uderzo

Optimization models with non-convex constraints arise in many tasks in machine learning, e.g., learning with fairness constraints or Neyman-Pearson classification with non-convex loss. Although many efficient methods have been developed…

Optimization and Control · Mathematics 2023-03-24 Runchao Ma , Qihang Lin , Tianbao Yang

This paper studies approximate solutions of a linear fractional vector optimization problem without requiring boundedness of the constraint set. We establish necessary and sufficient conditions for approximating weakly efficient points of…

Optimization and Control · Mathematics 2024-12-12 Nguyen Thi Thu Huong

We study the connectedness structure of the proper Pareto solution sets, the Pareto solution sets, the weak Pareto solution sets of polynomial vector variational inequalities, as well as the connectedness structure of the efficient solution…

Optimization and Control · Mathematics 2020-02-10 Vu Trung Hieu

This study delves into equilibrium problems, focusing on the identification of finite solutions for feasible solution sequences. We introduce an innovative extension of the weak sharp minimum concept from convex programming to equilibrium…

Optimization and Control · Mathematics 2024-01-15 Ruyu Wang , Wenling Zhao , Daojin Song , Yaozhong Hu

This paper deals with Pareto solutions of a nonsmooth fractional interval-valued multiobjective optimization. We first introduce four types of Pareto solutions of the considered problem by considering the lower-upper interval order relation…

Optimization and Control · Mathematics 2022-12-26 Nguyen Huy Hung , Nguyen Van Tuyen

This paper deals with approximate Pareto solutions of a nonsmooth interval-valued multiobjective optimization problem with data uncertainty in constraints. We first introduce some kinds of approximate Pareto solutions for the robust…

Optimization and Control · Mathematics 2025-02-25 Vu Hong Quan , Duong Thi Viet An , Nguyen Van Tuyen

A multi-objective optimization problem is $C^r$ weakly simplicial if there exists a $C^r$ surjection from a simplex onto the Pareto set/front such that the image of each subsimplex is the Pareto set/front of a subproblem, where $0\leq r\leq…

Optimization and Control · Mathematics 2021-07-20 Yusuke Mizota , Naoki Hamada , Shunsuke Ichiki

We are interested in local quasi efficient solutions for nonsmooth vector optimization problems under new generalized approximate invexity assumptions. We formulate necessary and sufficient optimality conditions based on Stampacchia and…

Optimization and Control · Mathematics 2020-07-10 Mohsine Jennane , Lhoussain El Fadil , El Mostafa Kalmoun
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