Global optimization to maximize stack energy

We have developed a new method for global optimization, designed to maximiz e stack energy. Our method includes upper bounds for the stack energy and m aximization of the stack energy for each common midpoint. The method quickl y identifies ranges of parameter values where the maximum cannot be located . We have used the approach to reach an excellent solution for a difficult sample problem that was created by adding static disruptions to field data. Our new method should apply in many areas of geophysics.