Quadratic optimization over a discrete pareto set of a multi-objective linear fractional program. (3rd July 2021)
- Record Type:
- Journal Article
- Title:
- Quadratic optimization over a discrete pareto set of a multi-objective linear fractional program. (3rd July 2021)
- Main Title:
- Quadratic optimization over a discrete pareto set of a multi-objective linear fractional program
- Authors:
- Moulaï, Mustapha
Mekhilef, Amal - Abstract:
- ABSTRACT: In the present paper, an exact algorithm is proposed for maximizing a quadratic function over the efficient set of a multi-objective integer linear fractional programming problem. This method uses a branch and bound search in the decision space and a cutting plane which will significantly shorten the search. A sequence of quadratic programs are solved, the feasible region is iteratively partitioned with two branching constraints or reduced using a cutting plane. We establish theoretical results which prove the effectiveness of this exact method. For illustration, a numerical example and some computational experiments are reported.
- Is Part Of:
- Optimization. Volume 70:Number 7(2021)
- Journal:
- Optimization
- Issue:
- Volume 70:Number 7(2021)
- Issue Display:
- Volume 70, Issue 7 (2021)
- Year:
- 2021
- Volume:
- 70
- Issue:
- 7
- Issue Sort Value:
- 2021-0070-0007-0000
- Page Start:
- 1425
- Page End:
- 1442
- Publication Date:
- 2021-07-03
- Subjects:
- Multi-objective optimization -- global optimization -- integer fractional programming -- quadratic programming
90C29 -- 90C32 -- 90C26 -- 90C10
Mathematical optimization -- Periodicals
519.7 - Journal URLs:
- http://www.tandfonline.com/toc/gopt20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/02331934.2020.1730834 ↗
- Languages:
- English
- ISSNs:
- 0233-1934
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6275.100000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17423.xml