Optimality conditions via a unified direction approach for (approximate) efficiency in multiobjective optimization. (4th May 2021)
- Record Type:
- Journal Article
- Title:
- Optimality conditions via a unified direction approach for (approximate) efficiency in multiobjective optimization. (4th May 2021)
- Main Title:
- Optimality conditions via a unified direction approach for (approximate) efficiency in multiobjective optimization
- Authors:
- Ghaznavi, M.
Akbari, F.
Khorram, E. - Abstract:
- Abstract : The presented paper addresses scalarization techniques for multiobjective optimization problems. A new scalarization technique for solving a general multiobjective optimization problem is proposed. This scalarization method is called the unified direction method, because it generalizes the Pascoletti–Serafini approach (direction approach). Some theoretical results related to the suggested scalarization technique are established, especially the ability of the method for generating (properly, weakly) efficient solutions is shown. Moreover, the relation between approximate optimal solutions of the proposed single objective problem and approximate (weakly, properly) efficient solutions of the multiobjective optimization problem is investigated. In fact, easy-to-check, necessary and sufficient conditions for ϵ -(weak, proper) efficiency are obtained. Moreover, the effectiveness of the proposed approach is illustrated with some illustrative computational examples.
- Is Part Of:
- Optimization methods and software. Volume 36:Number 2/3(2021)
- Journal:
- Optimization methods and software
- Issue:
- Volume 36:Number 2/3(2021)
- Issue Display:
- Volume 36, Issue 2/3 (2021)
- Year:
- 2021
- Volume:
- 36
- Issue:
- 2/3
- Issue Sort Value:
- 2021-0036-NaN-0000
- Page Start:
- 627
- Page End:
- 652
- Publication Date:
- 2021-05-04
- Subjects:
- Multiobjective optimization -- proper efficiency -- scalarization -- unified direction method -- approximate efficient solution
90C29 -- 90C30
Mathematical optimization -- Periodicals
Algorithms -- Periodicals
519.7 - Journal URLs:
- http://www.tandfonline.com/toc/goms20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/10556788.2019.1571589 ↗
- Languages:
- English
- ISSNs:
- 1055-6788
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6275.120000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22704.xml