Multi-route planning method of low-altitude aircrafts based on QICA algorithm

Multi-route planning is the important part in the field of aircraft planning research. This paper presents a new approach based on quantum immune clone algorithm to solve the multi-route planning problem of low-altitude aircrafts. The K-means clustering method is used to form several sub-populations in the cloning evolution process. Cloning, immune, choosing and deceasing operating is applied only in the sub-populations to ensure the optimized multi-route have spatial uniformity. The simulation results show that the proposed planning method can get multi-route of single aircraft with spatial differences.