Study on the Route Planning for Anti-Submarine Ship-Based UAV Based on Genetic Algorithm


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The route planning is an important part of UAV mission planning, especially for anti-submarine ship-based UAV. When a ship-based UAV searches submarine, it must be planned a route reasonable. Various restricted conditions are considered in this paper, including the capability, oil cost, air threat, and aviatic area. Under the condition of reasonable assumed tactics, an optimal route, which is from the original point to the target point, is planned for the ship-based UAV, with voronoi diagram, Dijkstra algorithm, and genetic algorithm. The method and the result provide an efficacious guarantee for the ship-based UAV to complete the mission of searching submarine



Advanced Materials Research (Volumes 433-440)

Edited by:

Cai Suo Zhang






J. Z. Men et al., "Study on the Route Planning for Anti-Submarine Ship-Based UAV Based on Genetic Algorithm", Advanced Materials Research, Vols. 433-440, pp. 4823-4826, 2012

Online since:

January 2012




[1] S. A. Bortoff. Path planning for UAVs. In: The Proceeding of the American Control Conference, Chicago, USA (2000).

[2] The New Concept of Navy Unmanned Aerial Vehicle [J]. Jades Navy International 2002 (4).

[3] The new characteristic of Europe unmanned helicopter [J]. Helicopter Technique 2006 (4).

[4] Ding M Y. The route planning of UAV, 2009 (1).

[5] Wang X P. Genetic Algorithm: Theory, Application, und Implement (2003).

[6] D. E. Goldberg. Genetic Algorithm in Search. Optimization and Machine Learning. Massachusetts: Addison-Wesley (1989).

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