UAS Mission Path Planning System, (MPPS) using hybrid-game coupled to multi-objective optimizer

Lee, Dong-Seop , Gonzalez, Luis Felipe, & Periaux, Jacques (2010) UAS Mission Path Planning System, (MPPS) using hybrid-game coupled to multi-objective optimizer. Journal of Dynamic Systems, Measurement, and Control, 132(4).

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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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2 citations in Scopus
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1 citations in Web of Science®

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ID Code: 34099
Item Type: Journal Article
Keywords: Mission Path Planning System , Hybrid-Game , Optimisation, UAS
DOI: 10.1115/1.4001336
ISSN: 0022-0434
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > NUMERICAL AND COMPUTATIONAL MATHEMATICS (010300) > Numerical Analysis (010301)
Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > NUMERICAL AND COMPUTATIONAL MATHEMATICS (010300) > Optimisation (010303)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100) > Aircraft Performance and Flight Control Systems (090104)
Divisions: Current > Research Centres > Australian Research Centre for Aerospace Automation
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 2010 ASME - American Society Mechanical Engineering
Deposited On: 12 Aug 2010 03:57
Last Modified: 29 Feb 2012 14:20

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