Fuzzy simulated annealing for fuzzy optimization

Authors:
Mahdi Namazifar;Mohammadreza Razzazi;Hassan Javaheri Neyestanaki
Affiliations:
Department of Computer Engineering and Information Technology, Amirkabir University of Technology, Tehran, Iran;Department of Computer Engineering and Information Technology, Amirkabir University of Technology, Tehran, Iran;Department of Mining and Metallurgy, Amirkabir University of Technology, Tehran, Iran
Venue:
MATH'05 Proceedings of the 8th WSEAS International Conference on Applied Mathematics
Year:
2005

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Abstract

Solving fuzzy optimization problems is more complex than solving crisp ones. The complexity of such problems motivates the use of approximation methods to solve them. In this paper, a simulated annealing technique is presented which is able to approximately solve fuzzy optimization problems.