Optimizing a linear function over the efficient set of a multiple objective integer quadratic program

Mohamed El-Amine Badjara and Mohamed El-Amine Chergui

Journal of the Operational Research Society, 2025, vol. 76, issue 6, 1177-1188

Abstract: In this paper, we investigate the optimization of a function over the efficient set of a Multiple Objective Integer Quadratic Program (MOIQP). The method described employs a branch-and-cut approach to address the problem. At every node within the search tree, a profound cut is derived by considering the ascending trends of the criteria. This cut enables the removal of branches where the associated sub-problems don’t contain efficient solutions. The proposed methodology is illustrated in an example. Extensive numerical experiments are conducted to demonstrate the method’s effectiveness against state-of-the-art methods.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/01605682.2024.2416510 (text/html)
Access to full text is restricted to subscribers.

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:taf:tjorxx:v:76:y:2025:i:6:p:1177-1188

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjor20

DOI: 10.1080/01605682.2024.2416510

Access Statistics for this article

Journal of the Operational Research Society is currently edited by Tom Archibald

More articles in Journal of the Operational Research Society from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().