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Combined with the research on the route plan of the peacetime military logistics distribution home and abroad, this paper proposes a method to connect genetic algorithm with fuzzy c-means clustering, which firstly clusters the army users with fuzzy math language into several classes according to the distance between the users and the military logistics distribution center, then plans the route with dual objective functions that are time and expense ones by genetic algorithm. Through a case analysis with the method, it proves that the method can decrease the time in a large scale but increase the expense in quite a small scale improving the military effectiveness, which indicates that the method is right and feasible and will provide a new thought for future studies on the problem.