重庆理工大学学报:自然科学
重慶理工大學學報:自然科學
중경리공대학학보:자연과학
Journal of Chongqing Institute of Technology
2012年
4期
81-86
,共6页
势场法%蚁群算法%冲突解脱
勢場法%蟻群算法%遲突解脫
세장법%의군산법%충돌해탈
artificial potential field%ACA%obstacle avoidance
分析了传统势场法存在的问题。针对传统势场法应用中存在的缺陷,引入蚁群算法,将两者结合进行解脱航迹的优化。研究表明:两者结合不仅克服了势场法的很多缺点,同时弥补了蚁群算法收敛性缓慢以及容易出现停滞现象等缺陷,具有更快发现较好解的能力。
分析瞭傳統勢場法存在的問題。針對傳統勢場法應用中存在的缺陷,引入蟻群算法,將兩者結閤進行解脫航跡的優化。研究錶明:兩者結閤不僅剋服瞭勢場法的很多缺點,同時瀰補瞭蟻群算法收斂性緩慢以及容易齣現停滯現象等缺陷,具有更快髮現較好解的能力。
분석료전통세장법존재적문제。침대전통세장법응용중존재적결함,인입의군산법,장량자결합진행해탈항적적우화。연구표명:량자결합불부극복료세장법적흔다결점,동시미보료의군산법수렴성완만이급용역출현정체현상등결함,구유경쾌발현교호해적능력。
Due to the huge demand of modem society on the transportation industry, especially air transportation demand, how to keep civil aircraft in the complex conflict environment safe and efficient is under more attention. The potential field method was the simplest and most effective method cur- rently used for aircraft conflict resolution research, but there are some flaws in the process of imple- menting. Considering the introduction of the ACA, a preliminary study showed that the combination of the two not only solves some of the shortcomings of the potential field method, but also makes up for the convergence of ant colony algorithm that is slow and prone to stagnation, with the ability to find better solutions faster.