Artificial Bee Colony Algorithm is an optimization method based on simulating the bees behavior. It is a kind of swarm intelligence and used widely for engineering problem. Its main character is just to make the comparison between the solutions

at last acquiring the global optimal solution. Its convergence speed is fast but it is easy to trap into the local optimum. Simulated Annealing process is introduced in the algorithm to overcome the shortage. In the damage identification

an objective function is defined based on the residual force vector

and then the proposed method is used to identify the structural damage. A planar truss is studied as an example to illustrate the correctness and efficiency of the present method. Study shows excellent identified results can be obtained even with noisy measurements. Compared with original algorithm

the modified one has a quicker convergence rate and gets a better result

and it is not sensitive to artificial measurement noise.