Optimization of Sensor Placement in SHM Based on the Dual Coded Genetic Algorithm

This paper uses of the dual structure of coded genetic algorithm to optimize the sensor placement methods. The method using the optimal preservation strategy using the adaptive part of the cross, overcomes deficiencies of computer applying to the lengthy large-scale structure data, storage space, and to ensure that the optimal solution search. Finally, through the analysis of a continuous rigid frame bridge Project, proved that the method superior to the effective independent method in the search capability, computational efficiency and reliability, but still need to further improve the speed of convergence.