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We present a new procedure to efficiently select the interferometric SAR data pairs exploited by the Small BAseline Subset (SBAS) DInSAR approach to generate surface deformation time-series. SAR data pair selection represents a key step within DInSAR processing since a not efficient choice can lead to deformation products with degraded quality. A way to face this problem is to compute a Delaunay triangulation in the temporal/perpendicular baseline plane. However, such a triangulation may still involve interferograms corrupted by severe decorrelation phenomena. Hence, we propose a new algorithm relying on a Simulated Annealing (SA) strategy, which is aimed at minimizing the decorrelation noise present in the generated interferograms by maximizing an appropriate cost function. The capability of the proposed method to select interferograms less affected by decorrelation phenomena as well as the derived-enhancement within the SBAS-DInSAR processing is demonstrated.