27th Congress of International Council of the Aeronautical Sciences, 19 - 24 September 2010, Nice, France
Paper ICAS 2010-6.6.1

MISSION OPTIMISATION AND MULTI-DISCIPLINARY DESIGN OF HYBRID UNMANNED AERIAL SYSTEMS (UAS) USING ADVANCED NUMERICAL TECHNIQUES

J. Y. Hung, L. F Gonzalez, R. Walker
ARCAA, Queensland Univ. of Technology, Australia

Keywords: hybrid unmanned aerial systems (uas), multi-disciplinary design and simulation, evolutionary algorithms, mission optimisation

This paper describes the theory and practical application of Hierarchical Asynchronous Parallel Multi-objective Evolutionary Algorithms (HAPMOEA) for mission optimisation of Hybrid Powered Unmanned Aerial Systems (HPUAS).

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