  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.
