• Improving the min–max method f...

Treffer: Improving the min–max method for multiobjective programming

Title:
Improving the min–max method for multiobjective programming
Authors:
Hossein Salmei, M. A. Yaghoobi
Source:
Operations Research Letters. 48:480-486
Publisher Information:
Elsevier BV, 2020.
Publication Year:
2020
Subject Terms:
0211 other engineering and technologies, 02 engineering and technology
Document Type:
Fachzeitschrift Article
Language:
English
ISSN:
0167-6377
DOI:
10.1016/j.orl.2020.05.013
Access URL:
https://www.sciencedirect.com/science/article/pii/S0167637720300808
https://dblp.uni-trier.de/db/journals/orl/orl48.html#SalmeiY20
Rights:
Elsevier TDM
Accession Number:
edsair.doi.dedup.....e3d5b8081362b8c5a25c921a5585679c
Database:
OpenAIRE

Weitere Informationen

In this paper, a new version of the min–max method for solving multiobjective optimization problems is proposed. Using the new version, unlike the min–max method, we can prove results on (proper) efficiency of optimal solutions. Moreover, a special case of the model with flexible constraints is also studied. By considering approximate solutions, some relationships between e 1 -(weakly, properly) efficient solutions of a general multiobjective optimization problem and ϵ -optimal solutions of the introduced model are achieved.