Research on Optimization of Emergency Rescue Materials Scheduling Based on Multilayer Optimization Strategy

The optimization of emergency relief materials scheduling(ERMS) is a challenging decision-making issue in the aftermath of natural disasters. To enhance the efficiency of emergency relief materials(ERMs) and improve the satisfaction of disaster victims, this paper analyzes the process of ERMS optimization in detail based on actual conditions. Based on a multi-layer optimization strategy, an optimization model for ERMS with the goal of minimizing time urgency is established, and a genetic algorithm(GA) based on a global search strategy is designed to obtain an ERMS plan based on the multi-layer optimization strategy. Subsequently, a comparative experiment under a single layer is designed, and the analysis reveals that the proposed GA based on the global search strategy can provide a more time-efficient and efficient ERMS plan while satisfying constraints.