co-radiant集的等价表示及其在向量优化问题中的应用

展开
  • 1. 重庆师范大学数学科学学院, 重庆 401331
刘芙萍 E-mail: lfp751214@163.com

收稿日期: 2020-07-03

  网络出版日期: 2021-05-06

基金资助

国家自然科学基金(11771064);国家自然科学基金(11991024);重庆市科学技术研究重点项目(KJZDK202001104);重庆市高校创新研究群体项目(CXQT20014)

The equivalent representation of co-radiant sets and its application in multi-objective optimization problems

Expand
  • 1. School of Mathematical Sciences, Chongqing Normal University, Chongqing 401331, China

Received date: 2020-07-03

  Online published: 2021-05-06

摘要

作为特殊的抽象凸(凹)集,radiant集和co-radiant集在抽象凸分析和多目标优化问题理论中发挥着重要作用。首先建立radiant集co-radiant集的等价刻画,从而推导出它们的重要性质。然后,将重要性质应用到向量优化问题近似解的刻画中,得到关于近似解集的等价刻画。

本文引用格式

汪文意, 高英, 刘芙萍 . co-radiant集的等价表示及其在向量优化问题中的应用[J]. 运筹学学报, 2021 , 25(2) : 135 -143 . DOI: 10.15960/j.cnki.issn.1007-6093.2021.02.011

Abstract

As a special abstract convex (concave) sets, radiant sets and co-radiant sets play the important roles in abstract convex analysis and the theory of multiobjective optimization problems. We first establish the equivalent characterizations for the radiant sets and co-radiant sets. Finally, we apply important properties to the characterization of the approximate solutions of the vector optimization problems, and obtain the equivalent characterization of the approximate solution sets.

参考文献

1 Rubinov A M . Abstract Convexity and Global Optimization[M]. Boston: Kluwer Academic Publishers, 2000.
2 Rockafellar R T . Convex Analysis[M]. Princeton: Princeton University Press, 1970.
3 Pallaschke D , Rolewicz S . Foundations of Mathematical Optimization: Convex Analysis without Linearity[M]. Dordrecht: Springer, 1997.
4 Singer I . Abstract Convex Analysis[M]. New York: Wiley, 1997.
5 Penot J P . Radiant and co-radiant dualities[J]. Pacific Journal of Optimization, 2010, 6 (2): 263- 279.
6 Zaffaroni A . Superlinear separation for radiant and co-radiant sets[J]. Optimization, 2007, 56 (1/2): 267- 285.
7 Sheykhi A , Doagooei A R . Radiant separation theorems and minimum-type subdifferentials of calm functions[J]. Journal of Optimization Theory and Applications, 2017, 174 (3): 693- 711.
8 Jord á n, Abelardo, Mart í nez-Legaz, et al. Co-radiant set-valued mappings[J]. 2019, arXiv: 1902.10772.
9 Gutiérrez C , Jiménez B , Novo V . On approximate efficiency in multiobjective programming[J]. Mathematical Methods of Operations Research, 2006, 64, 165- 185.
10 Gutiérrez C , Jiménez B , Novo V . A unified approach and optimality conditions for approximate solutions of vector optimization problems[J]. SIAM Journal on Optimization, 2006, 17 (3): 688- 710.
11 Sayadi-bander A , Kasimbeyli R , Pourkarimi L . A co-radiant based scalarization to characterize approximate solutions of vector optimization problems with variable ordering structures[J]. Operations Research Letters, 2016,
12 Gao Y , Yang X M , Teo K L . Optimality conditions for approximate solutions of vector optimization problems[J]. Journal of Industrial and Management Optimization, 2011, 11 (3): 495- 510.
13 Gao Y , Hou S H , Yang X M . Existence and optimality conditions for approximate solutions to vector optimization problems[J]. Journal of Industrial and Management Optimization, 2012, 152 (1): 97- 120.
14 Sayadi-Bander A , Pourkarimi L , Kasimbeyli R , et al. Coradiant sets and $ \varepsilon $-efficiency in multiobjective optimization[J]. Journal of Global Optimization, 2017, 68 (3): 587- 600.
15 Engau A. Adomination and decomposition in multiobjective programming[D]. Clemson: Clemson University, 2007.
16 高英. 多面体集下多目标优化问题近似解的若干性质[J]. 运筹学学报, 2013, 17 (2): 48- 52.
文章导航

/