Fuzzy simulated annealing for fuzzy optimization
Mahdi Namazifar, Mohammadreza Razzazi, Hassan Javaheri Neyestanaki · International Conference on Applied Mathematics · 2005
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.