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With the acceleration of urbanization, the muck transportation industry rises. In this process, many transportation enterprises and fleets of different sizes have been formed. However, problems such as long-distance dispatching and uncontrollable cost have not been effectively solved. In order to intensively manage the muck trucks of transportation enterprises and fleets, a muck truck scheduling system based on Non-dominated Sorting Genetic Algorithm II(NSGA-II) is studied and implemented. Its main functions are as follows: (1)Input and manage information such as location of construction site, reception site, dispatching cost and so on; (2)Using Beidou terminal to obtain real-time vehicles’ location data; (3)Using the data of tasks, locations, cost and so on in the system, realize the multi-objective optimization(MOO) scheduling scheme design with the least use of muck vehicles, the most tasks and the highest income. The system research saves the cost for the residue transportation and plays an important role in the management of the urban residue transportation.