Xian-Jun Long
Chongqing Technology and Business University
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Publication
Featured researches published by Xian-Jun Long.
Journal of Global Optimization | 2015
Xian-Jun Long; Jian-Wen Peng; Zai-Yun Peng
In this paper, we consider three kinds of pointwise well-posedness for set optimization problems. We establish some relations among the three kinds of pointwise well-posedness. By virtue of a generalized nonlinear scalarization function, we obtain the equivalence relations between the three kinds of pointwise well-posedness for set optimization problems and the well-posedness of three kinds of scalar optimization problems, respectively.
Journal of Global Optimization | 2009
Xian-Jun Long; Nan-jing Huang
The purpose of this paper is to generalize the concept of α-well-posedness to the symmetric quasi-equilibrium problem. We establish some metric characterizations of α-well-posedness for the symmetric quasi-equilibrium problem. Under some suitable conditions, we prove that the α-well-posedness is equivalent to the existence and uniqueness of solution for the symmetric quasi-equilibrium problems. The corresponding concept of α-well-posedness in the generalized sense is also investigated for the symmetric quasi-equilibrium problem having more than one solution. The results presented in this paper generalize and improve some known results in the literature.
Optimization | 2012
Xian-Jun Long; Jian-Wen Peng; Soon-Yi Wu
In this article, we establish some relationships between a solution of generalized vector variational-like inequalities and an efficient solution or a weakly efficient solution to the nonsmooth vector optimization problem under the assumptions of pseudoinvexity or invariant pseudomonotonicity. Our results extend and improve the corresponding results in the literature.
Optimization Letters | 2009
Xian-Jun Long; Z. Y. Peng; B. Zeng
In this paper, we consider the cone semistrictly preinvex function introduced by Peng and Zhu (J Inequal Appl 93532:1–14, 2006). The relationship between cone semistrictly preinvex functions and cone preinvex functions is investigated. A property of the cone semistrictly preinvex function is obtained.
Journal of Global Optimization | 2018
Zai-Yun Peng; Jian-Wen Peng; Xian-Jun Long; Jen-Chih Yao
This paper is concerned with the stability of semi-infinite vector optimization problems (SVO). Under weak assumptions, we establish sufficient conditions of the Berge-lower semicontinuity and lower Painlev
Journal of Applied Mathematics | 2014
Xian-Jun Long; Jian-Wen Peng; Nan-jing Huang; Jen-Chih Yao
Optimization Letters | 2018
Xiangkai Sun; Liping Tang; Xian-Jun Long; Minghua Li
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Optimization | 2017
Zai-Yun Peng; Xian-Jun Long; Xianfu Wang; Y. B. Zhao
Optimization | 2017
Xiangkai Sun; Xian-Jun Long; Minghua Li
e´–Kuratowski convergence of weak efficient solutions for (SVO) under functional perturbations of both objective functions and constraint sets. Some examples are given to illustrate that our results are new and interesting.
Applicable Analysis | 2012
Xian-Jun Long; Jian-Wen Peng; Mu-Ming Wong
In the last three decades, the theory of variational analysis provides very effective and powerful techniques for studying a wide class of problems arising in nonlinear equations, optimization problems, economics equilibrium, game theory, complementarity problems, and fixed point problems, as well as other branches of mathematics and engineering sciences. So, the thorough study of both theory and methods about variational inequalities will help us to find new techniques for solving the practical problem. Vector optimization problems have received much attention by many authors due to their extensive applications in many fields such as biology, economics, optimal control, and differential inclusions. Because of the importance and active impact of the variational inequality and the vector optimization problem in the nonlinear analysis and optimization, this special issue, focusing on most recent contributions, includes works on variational inequalities, equilibrium problems and nonexpansive mappings, vector optimization problems and generalized convex functions, robust optimization problems, and optimization problems with applications, which are based on a strict international peer review procedure and our original proposal. A brief review of the papers is given under the following four topics.