ABSTRACT
For the OSP of tethered sensor networks in SHM, a large number of research efforts have been made. On one hand, many widely used optimization criteria have been proposed. Emblematic examples are the Effective Independence (EfI) method (Kammer et al. 1991), the Modal Assurance Criterion (MAC) method (Carne and Dohrmann 1995), the Modal Kinetic Energy (MKE) (Salama et al. 1987), and the information entropy indexes (Papadimitriou 2005; Zhou et al. 2015). On the other hand, a large number of optimization methods have been developed. Swarm intelligence algorithms show more excellent performance when compared with the deterministic optimization algorithms and sequential sensor placement algorithms. The genetic algorithm (Yao et al. 1993), the simulated annealing algorithm (Chiu and Lin 2004), the particle swarm optimization algorithm (He et al. 2014), the monkey algorithm (Yi et al. 2012), the wolf algorithm (Yi et al. 2014), the glowworm swarm optimization algorithm (Zhou et al. 2015b) and the firefly algorithm (Zhou et al. 2015a) have been adopted and improved to find the optimal sensor configuration. For more information, one can refer the literature Yi and Li (2012).
