Title :
Airplane Route Planning for Plane-Missile Cooperation Using Improved Fish-Search Algorithm
Author :
Sun Tao ; Xie Xiao-fang ; Sun Yong-qin ; Li Song-yang
Author_Institution :
Dept. of Ordnance Sci. & Technol., NAAU, Yantai, China
Abstract :
An improved Fish-Search algorithm was proposed for airplane route planning of a class of Plane-Missile cooperation. The mathematical description of this class of cooperation was introduced. Comprehensively considered such key factors of the cooperation as inter-visibility, threat, maximum distance and relative orientation, the constraint conditions and evaluation index were constructed. According to the characteristics of the problem, the Fish-Search algorithm was used to solve the problem, and was improved by introducing a ta-boo bulletin board and the survival mechanism. As is shown in the comparison of the simulation results of the original and the improved algorithm, the convergence rate was improved.
Keywords :
algorithm theory; missile control; path planning; airplane route planning; convergence rate; evaluation index; fish-search algorithm; plane-missile cooperation; survival mechanism; taboo bulletin board; Airplanes; Airports; Artificial intelligence; Convergence; Marine animals; Missiles; Multidimensional systems; Sun; Technology planning; convergence rate; cooperation; fish swarm algorithm; route planning; simulation;
Conference_Titel :
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Conference_Location :
Hainan Island
Print_ISBN :
978-0-7695-3615-6
DOI :
10.1109/JCAI.2009.73