CAJ | 학술논문

针对自由飞行中飞行冲突解脱问题，利用遗传算法具有的并行性、鲁棒性强等特点，提出了一种能够快速进行飞机航路寻迹、优化的多目标遗传算法。通过建立双染色体对的方法，提出了一种并行调整飞机航向和速度的冲突解脱策略，有效地克服了单独改变航向或调整速度的局限，提高了航迹规划的适用性。仿真结果表明，该算法有效地解决了飞行冲突问题，解脱轨迹符合现实飞行操作规范，满足航路规划的快速性、安全性等要求。
침대자유비행중비행충돌해탈문제，이용유전산법구유적병행성、로봉성강등특점，제출료일충능구쾌속진행비궤항로심적、우화적다목표유전산법。통과건립쌍염색체대적방법，제출료일충병행조정비궤항향화속도적충돌해탈책략，유효지극복료단독개변항향혹조정속도적국한，제고료항적규화적괄용성。방진결과표명，해산법유효지해결료비행충돌문제，해탈궤적부합현실비행조작규범，만족항로규화적쾌속성、안전성등요구。
To deal with the problem of conflict resolution in free flight,by making use of the genetic algorithm with the charac-teristics of parallelism and robustness,a multi-objective genetic algorithm was examined to quickly solve the best route.And through the establishment of dual chromosome pairs,the strategies that parallel altered the heading and speed were proposed. The limitation of individually altering the heading and speed and the applicability of route planning were improved.Simulation re-sults showed that the algorithm effectively solved the problem of flight conflict,the liberation traj ectory conformed to realistic flight operations specifications and the requirements of route planning with safety and rapidity were met.