Volume 21, Issue 3 (IJIEPM (New Issue) 2010)                   2010, 21(3): 94-101 | Back to browse issues page

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Zare Mehrjerdi Y, moradian borojeni P, fereidouni S. Fuzzy Simulated Annealing Model for Solving Chance Constrained Capital Budgeting Problem. Journal title 2010; 21 (3) :94-101
URL: http://ijiepm.iust.ac.ir/article-1-407-en.html
Fuzzy Simulated Annealing Model for Solving Chance Constrained Capital Budgeting Problem
Yahia Zare Mehrjerdi * , Pegah Moradian borojeni , Sepide Fereidouni
, yazm2000@yahoo.com
Abstract:   (11200 Views)
With the existence of ambiguity in the financial processes of projects, fuzzy concepts are being implemented into the foundation and essence of the current article. Authors have employed chance constrained programming and simulated annealing as appropriate tools for determining the net present worth value of several projects. At the end, the most economical project was chosen. In this article, the investment expenses and annual net financial processes are considered fuzzy taking the credibility definition into consideration. The proposed model is then solved by simulated annealing program and to check its credibility we have compared the results of our model with the results obtained by the Genetic Algorithm as well as the Branch and Bound routine. The results indicate that for small sized problems, Genetic Algorithm has worked relatively with less error amounts and produces better results. All developed algorithms such as simulated annealing and fuzzy simulation are coded in MATLAB R2009a environment and on the personal computer with266GHZ
Keywords: Capital Budgeting, net present value, Chance-Constrained Programming, Fuzzy Simulation, Simulated Annealing
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Type of Study: Research | Subject: Other related Industrial and production reserach subjects in which has direct relation to the state-of-the art of the IE
Received: 2010/10/19 | Published: 2010/09/15
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