Abstract: To improve the scientificity and feasibility of logistics distribution center location results, a logistics center location strategy based on fuzzy comprehensive evaluation and quantum particle swarm optimization is proposed. Considering many qualitative factors, the fuzzy comprehensive evaluation method was used to comprehensively evaluate the candidate logistics centers, and a part of high-quality candidate centers were preliminarily screened to prepare for the solution of the model. With the goal of maximizing the total investment benefit, a mathematical model was established for the high-quality candidate centers in the initial screening, and the improved quantum particle swarm optimization was used to solve the model to obtain the final location scheme. Through the simulation example verification, the location strategy takes into account the influence of qualitative and quantitative factors on the location results, and effectively improves the scientificity and feasibility of the location results. In addition, compared with the comparison algorithms, the improved quantum particle swarm optimization shows stronger model solving ability.