Solving linear multi-objective geometric programming problems via reference point approach

In the last few years we have seen a very rapid development on solving generalized geometric programming (GGP) problems, but so far less works has been devoted to MOGP due to the inherent difficulty which may arise in solving such problems. Our aim in this paper was to consider the problem of multi-...

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Main Authors: Bazikar, F., Saraj, M.
Format: Article
Language:English
Published: Universiti Kebangsaan Malaysia 2014
Online Access:http://journalarticle.ukm.my/7526/1/20_F._Bazikar.pdf
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author Bazikar, F.
Saraj, M.
author_facet Bazikar, F.
Saraj, M.
author_sort Bazikar, F.
collection UKM
description In the last few years we have seen a very rapid development on solving generalized geometric programming (GGP) problems, but so far less works has been devoted to MOGP due to the inherent difficulty which may arise in solving such problems. Our aim in this paper was to consider the problem of multi-objective geometric programming (MOGP) and solve the problem via two-level relaxed linear programming problem Yuelin et al. (2005) and that is due to simplicity which occurs through linearization i.e. transforming a GP to LP. In this approach each of the objective functions in multi-objective geometric programming is individually linearized using two-level linear relaxed bound method, which provides a lower bound for the optimal values. Finally our MOGP is transformed to a multi-objective linear programming problem (MOLP) which is solved by reference point approach. In the end, a numerical example is given to investigate the feasibility and effectiveness of the proposed approach.
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spelling ukm.eprints-75262016-12-14T06:44:22Z http://journalarticle.ukm.my/7526/ Solving linear multi-objective geometric programming problems via reference point approach Bazikar, F. Saraj, M. In the last few years we have seen a very rapid development on solving generalized geometric programming (GGP) problems, but so far less works has been devoted to MOGP due to the inherent difficulty which may arise in solving such problems. Our aim in this paper was to consider the problem of multi-objective geometric programming (MOGP) and solve the problem via two-level relaxed linear programming problem Yuelin et al. (2005) and that is due to simplicity which occurs through linearization i.e. transforming a GP to LP. In this approach each of the objective functions in multi-objective geometric programming is individually linearized using two-level linear relaxed bound method, which provides a lower bound for the optimal values. Finally our MOGP is transformed to a multi-objective linear programming problem (MOLP) which is solved by reference point approach. In the end, a numerical example is given to investigate the feasibility and effectiveness of the proposed approach. Universiti Kebangsaan Malaysia 2014-08 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/7526/1/20_F._Bazikar.pdf Bazikar, F. and Saraj, M. (2014) Solving linear multi-objective geometric programming problems via reference point approach. Sains Malaysiana, 43 (8). pp. 1271-1274. ISSN 0126-6039 http://www.ukm.my/jsm
spellingShingle Bazikar, F.
Saraj, M.
Solving linear multi-objective geometric programming problems via reference point approach
title Solving linear multi-objective geometric programming problems via reference point approach
title_full Solving linear multi-objective geometric programming problems via reference point approach
title_fullStr Solving linear multi-objective geometric programming problems via reference point approach
title_full_unstemmed Solving linear multi-objective geometric programming problems via reference point approach
title_short Solving linear multi-objective geometric programming problems via reference point approach
title_sort solving linear multi objective geometric programming problems via reference point approach
url http://journalarticle.ukm.my/7526/1/20_F._Bazikar.pdf
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