A new algorithm for constrained global optimization based on filled function

In this paper, we propose a filled function method for constrained global optimization. This filled function contains only one parameter which is easily to be chosen. Then we investigate the properties of this function and design a new algorithm based on this function. Last, we make a numerical test. The numerical results show the efficiency of this global optimization method.