A variant of the genetic algorithm is used to place sensors optimally
on a large space structure for the purpose of modal identification. Th
e selection and reproduction schemes of the genetic algorithm are modi
fied, and a new operator called forced mutation is introduced. These c
hanges are shown to improve the convergence of the algorithm and to le
ad to near-optimal sensor locations. Two practical examples are invest
igated: sensor placement for an early version of the space station and
an individual space station photovoltaic array. Simulated results are
also compared with previous results obtained by the effective indepen
dence method. The genetic algorithm-based sensor configuration estimat
es the target mode response more accurately.