Finite Element Model Updating Using Fish School Search Optimization Method
This work addresses model updating for structural engineering, but it is incremental as it applies a known optimization method with a small tweak to a specific domain.
The paper tackled the finite element model updating problem by applying the Fish School Search optimization method to a GARTEUR SM-AG19 aeroplane structure, finding that FSS and PSO gave more accurate results than GA on average, with a minor modification improving FSS performance in constrained search spaces.
A recent nature inspired optimization algorithm, Fish School Search (FSS) is applied to the finite element model (FEM) updating problem. This method is tested on a GARTEUR SM-AG19 aeroplane structure. The results of this algorithm are compared with two other metaheuristic algorithms; Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). It is observed that on average, the FSS and PSO algorithms give more accurate results than the GA. A minor modification to the FSS is proposed. This modification improves the performance of FSS on the FEM updating problem which has a constrained search space.