A comparison of several cooling schedules for simulated annealing implemented on a residual statics problem

A study of several cooling schedules for the simulated annealing optimization algorithm, as applied to a residual statics problem in seismic data processing, is undertaken and discussed. A variety of schedules which depend on user‐controlled parameters and an adaptive annealing schedule which depends on the system itself are considered. The algorithm, with each schedule implemented in turn, is tested on a residual statics estimation where the optimization function is a coherence function between adjacent common depth point (CDP) gathers. Results of this study suggest the usefulness of a hybrid cooling schedule to reduce the number of cycles. Constrained adaptive annealing schedule offers a viable alternative.