Hybrid genetic algorithms and line search method for industrial production planning with non-linear fitness function
Many engineering,science,information technology and management optimization problems can be considered as non-linear programming real-world problems where all or some of the parameters and variables involved are uncertain in nature.These can only be quantified using intelligent computational techniq...
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| Format: | Article |
| Language: | English |
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PERGAMON
2009
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| Online Access: | http://scholars.utp.edu.my/id/eprint/2038/ http://scholars.utp.edu.my/id/eprint/2038/1/PV100.pdf |
| _version_ | 1848659197089021952 |
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| author | Vasant, Pandian |
| author_facet | Vasant, Pandian |
| author_sort | Vasant, Pandian |
| building | UTP Institutional Repository |
| collection | Online Access |
| description | Many engineering,science,information technology and management optimization problems can be considered as non-linear programming real-world problems where all or some of the parameters and variables involved are uncertain in nature.These can only be quantified using intelligent computational techniques such as evolutionary computation and fuzzy logic.The main objective of this research paper
is to solve non- linear fuzzy optimization problem where the technological coefficient in the constraints involved are fuzzy numbers,which was represented by logistic membership functions using the hybrid evolutionary optimization approach.To explore the applicability of the present study,a numerical example is considered to determine the production planning for the decision variables and profit of the company. |
| first_indexed | 2025-11-13T07:26:35Z |
| format | Article |
| id | oai:scholars.utp.edu.my:2038 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:26:35Z |
| publishDate | 2009 |
| publisher | PERGAMON |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:20382017-01-19T08:25:23Z http://scholars.utp.edu.my/id/eprint/2038/ Hybrid genetic algorithms and line search method for industrial production planning with non-linear fitness function Vasant, Pandian TS Manufactures Many engineering,science,information technology and management optimization problems can be considered as non-linear programming real-world problems where all or some of the parameters and variables involved are uncertain in nature.These can only be quantified using intelligent computational techniques such as evolutionary computation and fuzzy logic.The main objective of this research paper is to solve non- linear fuzzy optimization problem where the technological coefficient in the constraints involved are fuzzy numbers,which was represented by logistic membership functions using the hybrid evolutionary optimization approach.To explore the applicability of the present study,a numerical example is considered to determine the production planning for the decision variables and profit of the company. PERGAMON 2009-06 Article PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/2038/1/PV100.pdf Vasant, Pandian (2009) Hybrid genetic algorithms and line search method for industrial production planning with non-linear fitness function. Engineering Applications of Artificial Intelligence , 22 (4-5). pp. 767-777. ISSN 0952-1976 http://www.elsevier.com |
| spellingShingle | TS Manufactures Vasant, Pandian Hybrid genetic algorithms and line search method for industrial production planning with non-linear fitness function |
| title | Hybrid genetic algorithms and line search method for industrial production
planning with non-linear fitness function |
| title_full | Hybrid genetic algorithms and line search method for industrial production
planning with non-linear fitness function |
| title_fullStr | Hybrid genetic algorithms and line search method for industrial production
planning with non-linear fitness function |
| title_full_unstemmed | Hybrid genetic algorithms and line search method for industrial production
planning with non-linear fitness function |
| title_short | Hybrid genetic algorithms and line search method for industrial production
planning with non-linear fitness function |
| title_sort | hybrid genetic algorithms and line search method for industrial production
planning with non-linear fitness function |
| topic | TS Manufactures |
| url | http://scholars.utp.edu.my/id/eprint/2038/ http://scholars.utp.edu.my/id/eprint/2038/ http://scholars.utp.edu.my/id/eprint/2038/1/PV100.pdf |