A genetic algorithm for capital budgeting problem with fuzzy parameters

Citation

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).

Abstract

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.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Engineering
DOI Number:	https://doi.org/10.1109/ICCAIE.2010.5735081
Publisher:	IEEE
Keywords:	Capital budgeting; Goal programming; Fuzzy number; Genetic algorithm
Depositing User:	Nabilah Mustapa
Date Deposited:	08 Jul 2019 03:32
Last Modified:	08 Jul 2019 03:32
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ICCAIE.2010.5735081
URI:	http://psasir.upm.edu.my/id/eprint/69678
Statistic Details:	View Download Statistic

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