Robust Optimization for Location Selection Problem of Emergency Supply Distribution Center

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.