Abstract: In massive emergency events, the emergency supply distribution center location selection problem is one of key issues to achieve reasonable distribution of emergency materials and to reduce losses. A maximum covering-based and maximum backup coveringbased bi-objective location selection model for emergency supply distribution center is built with robust optimization theory. An improved hybrid algorithm based on particle swarm and chemical reaction optimization（HP-CRO）is adopted to solve the model. Furthermore, HPCRO is compared with multi-objective particle swarm optimization（MOPSO） , non-dominated genetic algorithm II（NSGA-II） , and improved non-dominated sorting biogeography-based optimization（INSBBO）and analyzed. The result indicates the model can effectively solve the location selection problem and algorithm HP-CRO solution has better performance.