A New T-F Function Approach for Discrete Global Optimization

Abstract

The T-F function method is an approach to find the global minimum of a multidimensional function. This paper gives a new definition of T-F function for discrete global optimization. A T-F function satisfying this definition is proposed. Furthermore, we discuss the properties of the proposed T-F function and design a new discrete T-F function algorithm. Numerical results on several test problems indicate that the proposed algorithm is reliable and efficient.