Spatial simulated annealing uses slight perturbations of previous sampling designs and a random search technique to solve spatial optimization problems. Candidate measurement locations are iteratively moved around and optimized by minimizing the mean universal kriging variance. The approach relies on a known, pre-specified model for underlying spatial variation.
“Simulated Annealing”
Spatial Simulated Annealing (SSA) google

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