Location Problem Based on Immune Optimization
This paper presents the site selection of disaster response and rescue system, uses cloud logistics coverage model to construct multi objective programming, uses immune optimization algorithm to simulate biological immune system to reach the optimal two dimensional coordinates of address are (130.73, 80.43) and so on. It shortens a lot of rescue time and has a positive impact. cloud logistics coverage model reduces service radius and increases transportation flexibility. Immune optimization algorithm has stronger global search ability than genetic algorithm. Introduction With the rapid development of new technology and new energy technology, drone technology is becoming more and more mature and plays an important role in emergency rescue work. The special uav for rescue work has transport, monitoring and other functions, and can carry out inspection, detection, rescue command and prevention and control of unexpected accidents. The following is the optimization of uav rescue site selection. Cloud Cover Location Allocation Model We need to select several best disaster response and rescue platforms in Puerto Rico. It can ensure that the disaster response system platform[1,2] can reach the disaster point in time when a disaster alarm occurs in Puerto Rico and drones can deliver medical supplies and provide road data images. Table 1. Drone Flight Parameter Table. Drone Load free maximum flight time Load free maximum flight distance A 35 min 23.3 km B 40 min 52.7 km C 35 min 37.3 km D 18 min 18 km E 15 min 15 km F 24 min 31.6 km G 16 min 17.1 km As is shown in the table 1, since disasters are concentrated in the eastern and southeastern coastal areas of Puerto Rico, we only consider the location selection of drone support and response to five hospitals in Puerto Rico. The following is a map of Puerto Rico's main road network. The red Pentagon is located in five hospitals that need drones to transport medical parcels. Figure 1. Major Highway Network Map of Puerto Rico. Fajardo San Juan
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