Yuhan Guo

Configuration Resilience of Emergency Medical Rescue Networks Under Coupled Disruptions Induced by Extreme Disasters: An Active-Learning-Assisted Optimization Approach

A two-stage scenario-based mixed-integer programming model is formulated that determines the locations and capacity levels of temporary rescue sites and emergency medical facilities and then optimizes scenario-adaptive casualty transfers among affected areas, rescue sites, emergency facilities, and hospitals.