TY - JFULL AU - Farhad Kolahan and M. Hossein Abolbashari and Samaeddin Mohitzadeh PY - 2007/12/ TI - Simulated Annealing Application for Structural Optimization T2 - International Journal of Materials and Metallurgical Engineering SP - 119 EP - 123 VL - 1 SN - 1307-6892 UR - https://publications.waset.org/pdf/13249 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 11, 2007 N2 - Several methods are available for weight and shape optimization of structures, among which Evolutionary Structural Optimization (ESO) is one of the most widely used methods. In ESO, however, the optimization criterion is completely case-dependent. Moreover, only the improving solutions are accepted during the search. In this paper a Simulated Annealing (SA) algorithm is used for structural optimization problem. This algorithm differs from other random search methods by accepting non-improving solutions. The implementation of SA algorithm is done through reducing the number of finite element analyses (function evaluations). Computational results show that SA can efficiently and effectively solve such optimization problems within short search time. ER -