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Self-adaptive many-objective meta-heuristic based on decomposition for many-objective conceptual design of a fixed wing unmanned aerial vehicle

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Yıldız, Ali Rıza

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Champasak, Pakin
Panagant, Natee
Pholdee, Nantiwat
Bureerat, Sujin

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Elsevier France

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Abstract

Many-objective optimisation is a design problem, having more than 3 objective functions, which is found to be difficult to solve. Implementation of such optimisation on aircraft conceptual design will greatly benefit a design team, as a great number of trade-off design solutions are provided for further decision making. In this paper, a many-objective optimisation problem for an unmanned aerial vehicle (UAV) is posed with 6 objective functions: take-off gross weight, drag coefficient, take off distance, power required, lift coefficient and endurance subject to aircraft performance and stability constraints. Aerodynamic analysis is carried out using a vortex lattice method, while aircraft component weights are estimated empirically. A new self-adaptive meta-heuristic based on decomposition is specifically developed for this design problem. The new algorithm along with nine established and recently developed multi-objective and many-objective meta-heuristics are employed to solve the problem, while comparative performance is made based upon a hypervolume indicator. The results reveal that the proposed optimiser is the best performer for this design task.

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Aircraft conceptual design, Many-objective optimisation, Aircraft performance, Dynamic stability, Multiobjective Evolutionary algorithm, Aerodynamic shape optimization, Unmanned aerial vehicles, System, Aircraft conceptual design, Aircraft performance, Dynamic stability, Many-objective optimisation, Aerodynamics, Antennas, Conceptual design, Decision making, Economic and social effects, Fixed wings, Heuristic algorithms, Optimization, Stability, Aircraft conceptual designs, Aircraft performance, Comparative performance, Hypervolume indicators, Objective optimisation, Stability constraints, Take off gross weight, Vortex lattice method, Vehicle performance

Citation

Champasak, P. vd. (2020). "Self-adaptive many-objective meta-heuristic based on decomposition for many-objective conceptual design of a fixed wing unmanned aerial vehicle". Aerospace Science and Technology, 100.

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