Artificial Immune Algorithm-based Airplane Path Planning under Complicated Environment

This paper mainly studies the flight route planning in complex and uncertain environments. The improved artificial immune algorithm is used to complete the flight route planning in different complex environments. The experimental results show that the improved artificial immune algorithm has a higher success rate of route planning than the common genetic algorithm in complex environments; therefore, it also shows that this method has better adaptability in complex environment