In recent years, shared micro-mobility services have gained momentum, also as an extension of public transportation such as metro and buses. They have gradually become an indispensable part of the urban transportation system. However, the enhanced flexibility and the sharp increase in the number of vehicles have also brought new challenges. One of the most significant is the spontaneous imbalance problem especially in peak hours, which could lead to the accumulation of scooters in some areas while unsatisfying demand in others, resulting in a waste of resources and loss of profit. In this context, this paper takes a dock-less e-scooters sharing system as the research object, and proposes joint optimization of relocation and routing strategies.