A digital speckle correlation method (DSCM) to measure surface displacements and strains have been developed. The
correlate search algorithm plays an important role in DSCM. The traditional correlate search algorithms depend on initial
value selection seriously. For this defect, this paper presents DSCM which uses genetic algorithm (GA) to measure
surface deformation. In order to overcome the premature convergence of tradition genetic algorithm, this paper utilizes
multi-parent crossover and adaptive mutation probability to perform genetic operation. The simulation demonstrates that
improved GA increases the speed and the precision of search. With the application of DSCM in measuring deformation
of composite laminates, the test reveals an agreement with the anticipated result.