Towards Optimal Techniques for Solving Global Optimization Problems: Symmetry-Based Approach


Most techniques for solving global optimization problems have parameters that need to be adjusted to the problem or to the class of problems: for example, in gradient methods, we can select different step sizes. When we have a single parameter (or few parameters) to choose, it is possible to empirically try many values and come up with an (almost) optimal… (More)