A genetic algorithm for capital budgeting problem with fuzzy parameters
When an organization utilizes modern technology in its manufacturing process, it needs to update and upgrade its facilities repetitively by efficient ways to stay with great productivity along with efficiency so. Capital Budgeting (CB) problem is one of the most important issues in decision makings...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2010
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| Online Access: | http://psasir.upm.edu.my/id/eprint/69678/ http://psasir.upm.edu.my/id/eprint/69678/1/A%20genetic%20algorithm%20for%20capital%20budgeting%20problem%20with%20fuzzy%20parameters.pdf |
| _version_ | 1848856476043444224 |
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| author | Rashidi-Bajgan, Hannaneh Rezaeian, Javad Nehzati, Taravatsadat Ismail, Napsiah |
| author_facet | Rashidi-Bajgan, Hannaneh Rezaeian, Javad Nehzati, Taravatsadat Ismail, Napsiah |
| author_sort | Rashidi-Bajgan, Hannaneh |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | When an organization utilizes modern technology in its manufacturing process, it needs to update and upgrade its facilities repetitively by efficient ways to stay with great productivity along with efficiency so. Capital Budgeting (CB) problem is one of the most important issues in decision makings about capital in the manufacturing management. Sometimes all variables and parameters are not necessarily deterministic and enough experiments are not available. Current study develops a chance constrained integer programming in the fuzzy environment for capital budgeting. Considering the complexity theory, a good answer could not be found in reasonable time, so that an intelligent Genetic Algorithm (GA) as a metaheuristic approach is provided to trace this problem with satisfying solutions. Thereupon, a fuzzy simulation-based genetic algorithm is provided for solving chance constrained integer programming model with fuzzy parameters. |
| first_indexed | 2025-11-15T11:42:15Z |
| format | Conference or Workshop Item |
| id | upm-69678 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:42:15Z |
| publishDate | 2010 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-696782019-07-08T03:32:07Z http://psasir.upm.edu.my/id/eprint/69678/ A genetic algorithm for capital budgeting problem with fuzzy parameters Rashidi-Bajgan, Hannaneh Rezaeian, Javad Nehzati, Taravatsadat Ismail, Napsiah When an organization utilizes modern technology in its manufacturing process, it needs to update and upgrade its facilities repetitively by efficient ways to stay with great productivity along with efficiency so. Capital Budgeting (CB) problem is one of the most important issues in decision makings about capital in the manufacturing management. Sometimes all variables and parameters are not necessarily deterministic and enough experiments are not available. Current study develops a chance constrained integer programming in the fuzzy environment for capital budgeting. Considering the complexity theory, a good answer could not be found in reasonable time, so that an intelligent Genetic Algorithm (GA) as a metaheuristic approach is provided to trace this problem with satisfying solutions. Thereupon, a fuzzy simulation-based genetic algorithm is provided for solving chance constrained integer programming model with fuzzy parameters. IEEE 2010 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/69678/1/A%20genetic%20algorithm%20for%20capital%20budgeting%20problem%20with%20fuzzy%20parameters.pdf Rashidi-Bajgan, Hannaneh and Rezaeian, Javad and Nehzati, Taravatsadat and Ismail, Napsiah (2010) A genetic algorithm for capital budgeting problem with fuzzy parameters. In: 2010 International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010), 5-7 Dec. 2010, Kuala Lumpur, Malaysia. (pp. 233-238). 10.1109/ICCAIE.2010.5735081 |
| spellingShingle | Rashidi-Bajgan, Hannaneh Rezaeian, Javad Nehzati, Taravatsadat Ismail, Napsiah A genetic algorithm for capital budgeting problem with fuzzy parameters |
| title | A genetic algorithm for capital budgeting problem with fuzzy parameters |
| title_full | A genetic algorithm for capital budgeting problem with fuzzy parameters |
| title_fullStr | A genetic algorithm for capital budgeting problem with fuzzy parameters |
| title_full_unstemmed | A genetic algorithm for capital budgeting problem with fuzzy parameters |
| title_short | A genetic algorithm for capital budgeting problem with fuzzy parameters |
| title_sort | genetic algorithm for capital budgeting problem with fuzzy parameters |
| url | http://psasir.upm.edu.my/id/eprint/69678/ http://psasir.upm.edu.my/id/eprint/69678/ http://psasir.upm.edu.my/id/eprint/69678/1/A%20genetic%20algorithm%20for%20capital%20budgeting%20problem%20with%20fuzzy%20parameters.pdf |