Structural Damage Identification Using MOPSO and MOEA/D Multi-Objective Evolutionary Optimization Algorithms

Many researchers have applied single-objective optimization algorithms for structural damage identification. Recently, multi-objective optimization algorithms have also been considered for this purpose. This article applies two recent multi-objective evolutionary optimization algorithms and modal shape and stiffness objective functions for structural damage detection in a simply supported beam and a two fixed-end moment beam. For the fixed supported beam, the results are compared with the experimental results from the literature. The results demonstrate the good performance of proposed approach in localization and quantification of damages.