Aircraft referenced flight path planning by using adaptive genetic algorithms

The referenced flight path should be firstly determined in the hierarchical flight path planning. To resolve the conflict between global optimization and information processing in the algorithm of referenced path planning, this paper offers an adaptive genetic algorithm used for the referenced path planning. In the algorithm the chromosome is constructed by a sequence of flight directions, on the basis of which the crossover operator and the mutation operator are designed. In the process of evolution, the adaptive crossover probability and the mutation probability are developed. The numerical application demonstrates that the proposed method reduces the memory and processing of information and improves the global optimization ability of the genetic algorithm. The proposed method can provide penetration vehicles with a referenced flight path satisfying the tactics requirement.