The Grid search method counts function values at all points of the defined grid. The mesh size depends on the number of optimization variables. The calculation time is exponential with the number of variables, and as the mesh is refined, it practically increases the computing time to the power of the number of variables. For example, when applying this algorithm to a location, the optimized variables are X, Y, Z, and time (four variables). If we originally searched the grid every 200 m, and we want to refine the grid to 100 m, densifying the same time in the focus, then the number of calculations will increase 16 times (e.g. from one minute to 16 minutes). However, if we give a given depth, then we have three variables and the number of calculations will increase eight times. The search grid can include absolute values or values relative to the search start point. Configuration requires specifying the grid parameters (minimum, maximum, and step) for all variables and whether the grid values are absolute or relative. The window is used to define the parameters:
