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The Journal of Supercomputing

Erschienen in:

28.08.2018

RETRACTED ARTICLE: Gauss interference ant colony algorithm-based optimization of UAV mission planning

verfasst von: Fanlei Yan

Erschienen in: The Journal of Supercomputing | Ausgabe 2/2020

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Abstract

To enhance the effectiveness of UAV task planning optimization scheme, a UAV task planning optimization strategy based on Gaussian disturbance ant colony optimization (ACO) was proposed. Firstly, UAV task planning optimization model with expansion observability was obtained through correlation function estimation and subsequent zero space projection, as well as closed-loop subspace identification model and block matrix filling mode; secondly, ACO was used for solving multi-objective optimization problem so as to find out optimal character subset. Then, ACO was used for optimizing UAV task planning optimization model with expansion observability. At last, the simulation experiment verified the performance advantage of the proposed algorithm in the UAV task planning optimization scheme.

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Titel: RETRACTED ARTICLE: Gauss interference ant colony algorithm-based optimization of UAV mission planning
verfasst von: Fanlei Yan
Publikationsdatum: 28.08.2018
Verlag: Springer US
Erschienen in: The Journal of Supercomputing / Ausgabe 2/2020
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI: https://doi.org/10.1007/s11227-018-2540-1

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