Optimization of a multiobjective programming problem

The purpose of this paper is to suggest the use of the Generalized Distance Approach in the field of multiobjective programming to find "compromising" conditions on the decision variables that will give a "near" optimal value for each of the objectives. A global optimization tech...

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Main Author: Lim, Kong Teong
Format: Article
Language:English
Published: Universiti Utara Malaysia 1999
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Online Access:http://repo.uum.edu.my/120/1/Lim_Kong_Teong.pdf
http://repo.uum.edu.my/120/
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Institution: Universiti Utara Malaysia
Language: English
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spelling my.uum.repo.1202010-07-04T04:35:28Z http://repo.uum.edu.my/120/ Optimization of a multiobjective programming problem Lim, Kong Teong QA Mathematics The purpose of this paper is to suggest the use of the Generalized Distance Approach in the field of multiobjective programming to find "compromising" conditions on the decision variables that will give a "near" optimal value for each of the objectives. A global optimization technique called the Controlled Random Search (CRS)procedure has been used to minimize the distance function derived from the Generalized Distance Approach. It is numerically shown that this approach works well in solving multiobjective optimization problems. Universiti Utara Malaysia 1999 Article PeerReviewed application/pdf en http://repo.uum.edu.my/120/1/Lim_Kong_Teong.pdf Lim, Kong Teong (1999) Optimization of a multiobjective programming problem. Analisis, 6 (1&2). pp. 27-42. ISSN 0127-8983 http://ijms.uum.edu.my
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA Mathematics
spellingShingle QA Mathematics
Lim, Kong Teong
Optimization of a multiobjective programming problem
description The purpose of this paper is to suggest the use of the Generalized Distance Approach in the field of multiobjective programming to find "compromising" conditions on the decision variables that will give a "near" optimal value for each of the objectives. A global optimization technique called the Controlled Random Search (CRS)procedure has been used to minimize the distance function derived from the Generalized Distance Approach. It is numerically shown that this approach works well in solving multiobjective optimization problems.
format Article
author Lim, Kong Teong
author_facet Lim, Kong Teong
author_sort Lim, Kong Teong
title Optimization of a multiobjective programming problem
title_short Optimization of a multiobjective programming problem
title_full Optimization of a multiobjective programming problem
title_fullStr Optimization of a multiobjective programming problem
title_full_unstemmed Optimization of a multiobjective programming problem
title_sort optimization of a multiobjective programming problem
publisher Universiti Utara Malaysia
publishDate 1999
url http://repo.uum.edu.my/120/1/Lim_Kong_Teong.pdf
http://repo.uum.edu.my/120/
http://ijms.uum.edu.my
_version_ 1644277698006089728