DocumentCode :
2820904
Title :
A Method Based on Genetic Algorithm for Anti-ship Missile Path Planning
Author :
Zhao, Xuechun ; Fan, Xiaohong
Author_Institution :
Naval Acad. of Armament, Beijing, China
Volume :
2
fYear :
2009
fDate :
24-26 April 2009
Firstpage :
156
Lastpage :
159
Abstract :
This paper presented a novel approach to search and optimize path points for anti-ship missile path planning. We utilized the method of MAKLINK graph to construct free space, and then, a global state connected graph is built up for searching for all possible routes. genetic algorithm is used to search and optimize path points severally in these local routes. According to flight rules and technique characteristics of anti-ship missile, a coding measure and the fitness function are proposed. By introducing constraints selection strategy, the method in this paper guaranteed that all paths resulted could satisfy constraints. The results by simulation revealed that the method proposed in this paper is effective in solving the path planning problem with constraints.
Keywords :
genetic algorithms; graph theory; missile control; path planning; search problems; ships; MAKLINK graph; antiship missile path planning; fitness function; genetic algorithm; path point optimization; path point search approach; state connected graph; Algorithm design and analysis; Ant colony optimization; Constraint optimization; Convergence; Genetic algorithms; Missiles; Optimization methods; Path planning; Sea measurements; Turning; anti-ship missile; genetic algorithm; path planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
Type :
conf
DOI :
10.1109/CSO.2009.370
Filename :
5193920
Link To Document :
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