Modeling and Simulation of Civil Aviation Disaster Relief Logistics within Multiairport Network

Abstract

The civil aviation is an important part in emergency relief logistic system. Considering the characteristics of civil aviation disaster relief logistics, this paper models and simulates civil aviation disaster relief logistics within multiairport network. The mathematic model has constraints by airplane performance and emergency resource reserves. It aims to cost minimum transport time and obtain optimal relief effect. In order to better compute this mathematic model, a modified cellular genetic algorithm is proposed. It designs a modified cellular evolutionary rule which simulates closer to real eco-system. This algorithm consists of five parts, including chromosome encoding, cellular space initialization, cellular genetic operation, cellular evolutionary rule and termination condition. Specifically, the chromosome is generated via concatenating the transportation task sequences of each airplane. Then an arithmetic case is given to test the algorithm. The test results prove the feasibility and excellence of the mathematic model. Further comparative analysis demonstrates the advantages of this modified algorithm in terms of global searching ability and convergence performance.