A new composite fitness evaluation function is proposed for many-objective cases. The convergence, diversity and user preferences are considered in this function. The proposed fitness function guides the search to the preferred region of the Pareto front. Using the proposed function in an EMO algorithm led to better results. The algorithm has comparable performance with a reasonable amount of computing.