28th Congress of the International Council of the Aeronautical Sciences, 23 - 28 September 2012, Brisbane, Australia
Paper ICAS 2012-11.7.3
HYBRID GAME EVOLUTIONARY ALGORITHM FOR MISSION PATH PLANNING OF AERIAL SURVEY TASKS
G. Rappa, F. Gonzalez*, J. Kok*, F. Quagliotti
Politecnico di Torino, Italy; *ARCAA, QUT, Australia
Keywords: hybrid game, moea, mission path planning, uas, infrastructure inspection
This paper presents the application of Hybrid-Game strategy in aerial survey mission path planning. NSGA-II and Hybrid-Game are implemented to produce a set of optimal mission paths in a two-dimensional environment modelled as a Multi-Objective TSP. The two optimisation methods are compared in terms of computational expense and path quality.
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