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Optimization of air transport based on improved NSGA2

LI Ruiyang;SUN Jingming;LU Houqing;YU Jiaping;College of Field Engineering,PLA Univ.of Sci.& Tech.;College of Economics and Management,Nanjing University of Aeronautics and Astronautics;  
To reduce fuel costs generated in the process of transport aviation,and meet the security needs of the commanding officers,according to the number of personnel and goods that the transport aircraft in operations need to transport and its destination,the aircraft speed optimization model was established which pursues minimum flight cost and considers time constraints,and flight speed optimized by improved nondominated sorting genetic algorithm 2(NSGA2).By conducting numerical tests,the distinguishing performance of improved NSGA2 was compared with classical NSGA2 without modification to verify the effectiveness of the algorithm combined with modifying operators and the improved strategy of initial solution generation.The results show that the precision and accuracy of the improved algorithm can meet the requirements,and save time by 25.38% with the same degree of accuracy.The use of the algorithm for optimizing aircraft speed selection dramatically changes the flight speed optimization results and improves the efficiency of air transport.
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