Some Perspectives on Vector Optimization via Image Space Analysis
Franco Giannessi ()
Additional contact information
Franco Giannessi: University of Pisa
Journal of Optimization Theory and Applications, 2018, vol. 177, issue 3, No 18, 906-912
Abstract:
Abstract This note aims at stimulating research on vector optimization through Image Space Analysis.
Keywords: Image Space Analysis; Vector optimization problems; Multi-objective problems; Existence of maxima and minima; Bi-level optimization; Vector Variational Inequalities; 65K05; 65K10; 90C05 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://link.springer.com/10.1007/s10957-018-1275-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:joptap:v:177:y:2018:i:3:d:10.1007_s10957-018-1275-8
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2
DOI: 10.1007/s10957-018-1275-8
Access Statistics for this article
Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull
More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().