Non-convex Global Optimization with Gurman Perturbation

Abstract:

In this paper, the global optimization of a non-convex function over a sphere is investigated by the Gurman perturbation method and the canonical backward flow. The constrained optimization is converted into a singular optimal control problem for solving non-convex global optimization. A sufficient and necessary optimality condition is obtained for the non-convex quadratic optimization over a sphere.