DocumentCode
2452036
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
fYear
2009
fDate
25-26 April 2009
Firstpage
853
Lastpage
856
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Conference_Location
Hainan Island
Print_ISBN
978-0-7695-3615-6
Type
conf
DOI
10.1109/JCAI.2009.73
Filename
5159137
Link To Document