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Conflict Resolution in Free Flight Based on an Immune Genetic Algorithm

YANG Shang-wen,DAI Fu-qing(College of Air Traffic Management,Civil Aviation University of China,Tianjin 300300,China)  
Free flight is an effective way to solve the congestions of air traffic managements.But the difficulties in air traffic managements increase.IGA(immune genetic algorithm) is an improved GA(genetic algorithm) based on an immune principle,which simulates the immune system to solve the problems.Compared with GA,IGA could prevent premature,reduce the influence of parameters and get high efficiency of optimization.The paper uses IGA to solve the air traffic conflicts in free flight and gets better optimization effect than GA.
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