Multi-objective policing emergency logistics scheduling on multi-location coordinated terrorist attacks

Multi-location coordinated terrorist attack is the latest form of terrorist attacks to lead to serious disasters and the wild range of social panics. The public security agents not only have to consider speed of policing rescue, but also consider many criterions emergency strategies with efficiency of policing rescue, effectiveness of policing rescue and fairness of policing rescue in process of policing emergency logistics scheduling to enable quickly and efficient policing emergency relief to demand points of terrorist attacks. This study proposes improved NSGA-II algorithm to solve policing emergency rescue scheduling model that is non-linear model. The algorithm adjusts policing emergency rescue schedules from policing command center according to the requirements at demand points in order to minimize unsatisfied for resources, max arrival time, and deprivation costs. The proposed algorithm is applied to scenario of coordinated terrorist attacks in city of China to test its performance. Experimental results verify rationality and effectiveness of model and algorithm. The results show that attacking site importance and shortest distance priority rescue strategy is more effective than the nearest rescue distance priority strategy, and reasonable policing resources scheduling center has better effects on rescue scheduling, and decentralization of police can reduce the impact of terrorist attacks.