Feasible-side global convergence in experimental optimization
  We propose a canonical form of the experimental optimization problem and review the state-of-the-art methods to solve it. As guarantees of global convergence to an optimal point via only feasible iterates are absent in these methods, we present a set of sufficient conditions to enforce this behavior. 
Gene A. Bunin, Gr\'egory Fran\c{c}ois, Dominique Bonvin
math.OC