This paper presents a dynamic grouping maintenance strategy for complex systems whose structure may lead to both positive and negative economic dependencies. Preventive maintenance (PM) durations are investigated and considered in the proposed maintenance model. Thanks to the rolling horizon spirit, the maintenance planning can be updated to take into account short-term information which could be changed with time. Moreover, Genetic Algorithm (GA) is used to find the optimal grouping planning which is NP-hard combinatorial problem. A numerical example of a 10 components system is finally introduced to illustrate the use and the advantages of the proposed approach in the maintenance optimization framework.