NDLI: Estimation of Distribution Algorithms based Unmanned Aerial Vehicle path planner using a new coordinate system

Content Provider	IEEE Xplore Digital Library
Author	Peng Yang Ke Tang Lozano, J.A.
Copyright Year	2014
Description	Author affiliation: Intell. Syst. Group, Univ. of the Basque Country, Donostia-San Sebastián, Spain (Lozano, J.A.) \|\| Sch. of Comput. Sci. & Technol. of USTC, USTC-Birmingham Joint Res. Inst. in Intell. Comput. & Its Applic., Hefei, China (Peng Yang; Ke Tang)
Abstract	Path planning technique is vital to Unmanned Aerial Vehicle (UAV). Evolutionary Algorithms (EAs) have been widely used in planning path for UAV. In these EA-based path planners, Cartesian coordinate system and polar coordinate system are commonly used to codify the path. However, either of them has its drawback: Cartesian coordinate systems result in an enormous search space, whilst polar coordinate systems are unfit for local modifications resulting e.g., from mutation and/ or crossover. In order to overcome these two drawbacks, we solve the UAV path planning in a new coordinate system. As the new coordinate system is only a rotation of Cartesian coordinate system, it is inherently easy for local modification. Besides, this new coordinate system has successfully reduced the search space by explicitly dividing the mission space into several subspaces. Within this new coordinate system, an Estimation of Distribution Algorithms (EDAs) based path planner is proposed in this paper. Some experiments have been designed to test different aspects of the new path planner. The results show the effectiveness of this planner.
Starting Page	1469
Ending Page	1476
File Size	1750078
Page Count	8
File Format	PDF
e-ISBN	9781479914883
DOI	10.1109/CEC.2014.6900412
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Space missions Path planning Probability distribution Estimation Turning Radar Algorithm design and analysis Estimation of Distribution Algorithms Unmanned Aerial Vehicle off-line path planning rotated coordinate system
Content Type	Text
Resource Type	Article

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