A multi-objective evolutionary approach for fuzzy optimization in production planning
This paper outlines, first, a real-world industrial problem for product-mix selection involving 8 variables and 21 constraints with fuzzy coefficients and thereafter, a multi-objective optimization approach to solve the problem. This problem occurs in production planning in which a decision-maker pl...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2007
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| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/136/ http://scholars.utp.edu.my/id/eprint/136/1/paper.pdf |
| _version_ | 1848658919647346688 |
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| author | P., Vasant F., Jimenez G., Sanchez J.L., Verdegay |
| author_facet | P., Vasant F., Jimenez G., Sanchez J.L., Verdegay |
| author_sort | P., Vasant |
| building | UTP Institutional Repository |
| collection | Online Access |
| description | This paper outlines, first, a real-world industrial problem for product-mix selection involving 8 variables and 21 constraints with fuzzy coefficients and thereafter, a multi-objective optimization approach to solve the problem. This problem occurs in production planning in which a decision-maker plays a pivotal role in making decision under fuzzy environment. Decision-maker should be aware of his/her level-of-satisfaction as well as degree of fuzziness while making the product-mix decision. Thus, the authors have analyzed using a modified S-curve membership function the fuzziness patterns and fuzzy sensitivity of the solution found from the multi-objective optimization methodology. An ad hoc Pareto-based multi-objective evolutionary algorithm is proposed to capture multiple non dominated solutions in a single run of the algorithm. Results obtained have been compared with the well-known multi-objective evolutionary algorithm NSGA-II. © 2006 IEEE.
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| first_indexed | 2025-11-13T07:22:11Z |
| format | Conference or Workshop Item |
| id | oai:scholars.utp.edu.my:136 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:22:11Z |
| publishDate | 2007 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:1362017-01-19T08:27:12Z http://scholars.utp.edu.my/id/eprint/136/ A multi-objective evolutionary approach for fuzzy optimization in production planning P., Vasant F., Jimenez G., Sanchez J.L., Verdegay Q Science (General) QA75 Electronic computers. Computer science This paper outlines, first, a real-world industrial problem for product-mix selection involving 8 variables and 21 constraints with fuzzy coefficients and thereafter, a multi-objective optimization approach to solve the problem. This problem occurs in production planning in which a decision-maker plays a pivotal role in making decision under fuzzy environment. Decision-maker should be aware of his/her level-of-satisfaction as well as degree of fuzziness while making the product-mix decision. Thus, the authors have analyzed using a modified S-curve membership function the fuzziness patterns and fuzzy sensitivity of the solution found from the multi-objective optimization methodology. An ad hoc Pareto-based multi-objective evolutionary algorithm is proposed to capture multiple non dominated solutions in a single run of the algorithm. Results obtained have been compared with the well-known multi-objective evolutionary algorithm NSGA-II. © 2006 IEEE. 2007 Conference or Workshop Item NonPeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/136/1/paper.pdf P., Vasant and F., Jimenez and G., Sanchez and J.L., Verdegay (2007) A multi-objective evolutionary approach for fuzzy optimization in production planning. In: 2006 IEEE International Conference on Systems, Man and Cybernetics, 8 October 2006 through 11 October 2006, Taipei. http://www.scopus.com/inward/record.url?eid=2-s2.0-34548125785&partnerID=40&md5=1213e52351e32c9fa782e61dc491475b |
| spellingShingle | Q Science (General) QA75 Electronic computers. Computer science P., Vasant F., Jimenez G., Sanchez J.L., Verdegay A multi-objective evolutionary approach for fuzzy optimization in production planning |
| title | A multi-objective evolutionary approach for fuzzy optimization in production planning
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| title_full | A multi-objective evolutionary approach for fuzzy optimization in production planning
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| title_fullStr | A multi-objective evolutionary approach for fuzzy optimization in production planning
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| title_full_unstemmed | A multi-objective evolutionary approach for fuzzy optimization in production planning
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| title_short | A multi-objective evolutionary approach for fuzzy optimization in production planning
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| title_sort | multi-objective evolutionary approach for fuzzy optimization in production planning |
| topic | Q Science (General) QA75 Electronic computers. Computer science |
| url | http://scholars.utp.edu.my/id/eprint/136/ http://scholars.utp.edu.my/id/eprint/136/ http://scholars.utp.edu.my/id/eprint/136/1/paper.pdf |