چكيده به لاتين
In this research, the application of metaheuristic methods is investigated. In the first stage, a new metaheuristic algorithm so-called Thermal Exchange Optimization (TEO) is proposed. This algorithm mimics Newton’s law of cooling. In order to verify the performance of the algorithm, benchmark mathematical and engineering problems are utilized. The results show the suitable performance of TEO among some other well-known algorithms. In the next stage, an off-line tuned version of TEO is applied to structural health monitoring problem. Here, various structures by considering different scenarios and noise in inputs are utilized. According to the obtained results, the induced damages are successfully identified by TEO. In the last stage, buckling capacity of composite structures are optimized using three variants of Bio-geographic optimization (BBO). Four load cases are taken into account as the studying cases and the results show the good performance of BBO.
