A novel genetic algorithm is proposed to the grid resource assignment problem. The improved genetic algorithm extracts the heuristic feedback from these obtained solutions, and applies the heuristic feedback to guide the subsequent optimization process. Experimental results suggest that this method is efficient to the resource optimization problem.