A note on min-max goal programming approach for solving multi-objective de novo programming problems

Susanta Banik and Debasish Bhattacharya

International Journal of Operational Research, 2020, vol. 37, issue 1, 32-47

Abstract: Min-max goal programming approach for solving multi-objective de novo programming problems was studied by Nurullah Umarusman in 2013. The present study is a further attempt to examine the approach and present an improved version of the approach. In Umarusman's method, each of the goal constraints is having both positive and negative deviation variables, whereas in the proposed approach only one deviation variable has been used. The method of solution has been illustrated with the numerical examples. The solution obtained by proposed method yields objective values which are better than those obtained by Umarusman for the same set of weights.

Keywords: optimal system design; de novo programming; min-max goal programming; multi-objective optimisation. (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=104223 (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:ids:ijores:v:37:y:2020:i:1:p:32-47

Access Statistics for this article

More articles in International Journal of Operational Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().