In order to realize the global optimization,a novel genetic pattern search (GPS) method is proposed in this paper,which combines the powerful global search ability of genetic algorithm (GA) and the powerful local search ability of generalized pattern search (PS).The algorithm is two-folded,firstly GA and PS are integrated to coarse-search,and secondly,only PS is utilized to fine-search.Experiments on different test functions such as Hump,Powell,Rosenbrock,Schaffer,and Woods demonstrate that this proposed GPS is superior to improved GA and improved PS with respect to successful rate.Accordingly,GPS is an effective and feasible global optimization algorithm.