eprintid: 14142 rev_number: 6 eprint_status: archive userid: 5 dir: disk0/00/01/41/42 datestamp: 2016-12-14 08:45:17 lastmod: 2021-08-27 17:28:16 status_changed: 2016-12-14 08:45:17 type: book_section metadata_visibility: show item_issues_count: 2 creators_name: Valyi, I. creators_id: AL1323 title: Epsilon Solutions and Duality in Vector Optimization ispublished: pub divisions: prog_sds abstract: The study of epsilon solutions in vector optimization problems was started in 1979 by S. S. Kutateladze [1]. These types of solutions are interesting because of their relation to non-differentiable optimization and the vector valued extensions of Ekeland’s variational principle as considered by P. Loridan [2] and I. Vályi [3], but computational aspects are perhaps even more important. In practical situations, namely, we often stop the calculations at values that we consider sufficiently close to the optimal solution, or use algorithms that result in some approximates of the Pareto set. Such procedures can result in epsilon solutions that are under study in this paper. A paper by D. J. White [4] deals with this issue and investigates how well these solutions approximate the exact solutions. date: 1987 date_type: published publisher: Springer Berlin Heidelberg id_number: 10.1007/978-3-642-46607-6_45 creators_browse_id: 2471 creators_browse_id: 2643 creators_browse_id: 2222 full_text_status: none series: Lecture Notes in Economics and Mathematical Systems volume: 285 place_of_pub: Germany pagerange: 417-426 refereed: TRUE isbn: 978-3-642-46607-6 issn: 0075-8442 book_title: Toward Interactive and Intelligent Decision Support Systems editors_name: Sawaragi, Y. editors_name: Inoue, K. editors_name: Nakayama, H. editors_id: AL1624 editors_id: AL0282 coversheets_dirty: FALSE fp7_type: info:eu-repo/semantics/bookPart citation: Valyi, I. (1987). Epsilon Solutions and Duality in Vector Optimization. In: Toward Interactive and Intelligent Decision Support Systems. Eds. Sawaragi, Y. , Inoue, K., & Nakayama, H. , pp. 417-426 Germany: Springer Berlin Heidelberg. ISBN 978-3-642-46607-6 10.1007/978-3-642-46607-6_45 .