Aircraft Referenced Flight Path Planning by Using Adaptive Genetic Algorithms
Pei He · Acta Aeronautica Et Astronautica Sinica · 2003
The referenced flight path should be firstly determined in hierarchical flight path planning. To resolve the conflict between global optimization and information processing in the algorithm of referenced path planning, this paper develops an adaptive genetic algorithm to 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 mutation operator are designed. In the process of evolution,the adaptive crossover probability and 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.