Journal
ADVANCES IN ENGINEERING SOFTWARE
Volume 99, Issue -, Pages 121-136Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.advengsoft.2016.05.015
Keywords
Unmanned combat aerial vehicle; Path planning; Grey wolf optimizer
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Funding
- National Science Foundation of China [61563008, 61463007]
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Unmanned combat aerial vehicle (UCAV) path planning is a fairly complicated global optimum problem, which aims to obtain an optimal or near-optimal flight route with the threats and constraints in the combat field well considered. A new meta-heuristic grey wolf optimizer (GWO) is proposed to solve the UCAV two-dimension path planning problem. Then, the UCAV can find the safe path by connecting the chosen nodes of the two-dimensional coordinates while avoiding the threats areas and costing minimum fuel. Conducted simulations show that the proposed method is more competent for the UCAV path planning scheme than other state-of-the-art evolutionary algorithms considering the quality, speed, and stability of final solutions. (C) 2016 Elsevier Ltd. All rights reserved.
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