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UAS mission path planning system (MPPS) using hybrid-game coupled to multi-objective optimiser

Lee, Dong-Seop, Periaux, Jacques, & Gonzalez, Luis F. (2009) UAS mission path planning system (MPPS) using hybrid-game coupled to multi-objective optimiser. In Anderson, K. & Flowers, G. (Eds.) Proceedings of 2009 Design Engineering Technical Conferences & Computers and Information in Engineering Conference, American Society of Mechanical Engineers (ASME), San Diego Convention Center, San Diego, Califorina , pp. 1-10.

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Abstract

This paper presents the application of advanced optimization techniques to unmanned aerial system mission path planning system (MPPS) using multi-objective evolutionary algorithms (MOEAs). Two types of multi-objective optimizers are compared; the MOEA nondominated sorting genetic algorithm II and a hybrid-game strategy are implemented to produce a set of optimal collision-free trajectories in a three-dimensional environment. The resulting trajectories on a three-dimensional terrain are collision-free and are represented by using Bézier spline curves from start position to target and then target to start position or different positions with altitude constraints. The efficiency of the two optimization methods is compared in terms of computational cost and design quality. Numerical results show the benefits of adding a hybrid-game strategy to a MOEA and for a MPPS.

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1 citations in Web of Science®
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ID Code: 33029
Item Type: Conference Paper
Additional URLs:
Keywords: Unmanned Aerial Systems, Path Planning, Hybrid Optimiser
DOI: 10.1115/1.4001336
ISBN: 9780791838563
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100) > Aerodynamics (excl. Hypersonic Aerodynamics) (090101)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100) > Aircraft Performance and Flight Control Systems (090104)
Australian and New Zealand Standard Research Classification > TECHNOLOGY (100000) > AGRICULTURAL BIOTECHNOLOGY (100100) > Agricultural Molecular Engineering of Nucleic Acids and Proteins (100103)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2010 American Society of Mechanical Engineers
Deposited On: 06 Jul 2010 22:14
Last Modified: 10 Aug 2011 16:49

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