This paper analyzes the military equipment logistics center location problem and based on the analysis, builds the hybrid algorithm model which combines fuzzy clustering and genetic algorithm. The core technology is to integrate the fuzzy clustering network model into genetic algorithm in the process of building groups, which can effectively avoid the possibility for genetic algorithm to be prone to premature. The algorithm has been validated to be robust and reliable. The simulation results offer certain references for policy-makers to select the location more scientifically.