A one-parameter filled function for nonsmooth global optimization and its application

Abstract

This paper presents a modified definition of the filled function for finding a global minimizer of a nonsmooth function on a closed bounded set, and then give a one-parameter filled function. Theoretical and numerical properties of the proposed filled function are investigated and a corresponding solution algorithm is proposed. The proposed filled function's parameter is easier to be appropriately chosen than previous functions in literatures. Numerical results obtained indicate the efficiency of the proposed filled function method. An improved fingerprint recognition method using global filled function is also reported.

A new filled function for nonsmooth global optimization

“…where μ is a parameter [9]. Also Wang et al proposed different filled functions for unconstrained nonsmooth optimization [6,7].…”