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
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