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Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 7, Issue 3, Pages 1,310-1,325, DOI: https://doi.org/10.21307/ijssis-2017-707
License : (CC BY-NC-ND 4.0)
Received Date : 10-May-2014 / Accepted: 05-July-2014 / Published Online: 01-September-2014
Path planning of unmanned aerial vehicle (UAV) is an optimal problem in the complex
combat field environment. Teaching-Learning-Based Optimization (TLBO) algorithm is presented
under the inspiration of the teaching-learning behavior in a classroom. In this paper, this algorithm is
applied to design a path by the search angle and distance, by which a better path at higher convergence
speed and shorter route can be found. Finally experimental comparison results show that TLBO
algorithm is a feasible and effective method for UAV path planning.
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