Autonomous Flight of Unmanned Aerial Vehicles Using Evolutionary Algorithms-Reference-Cited by-同舟云学术

Autonomous Flight of Unmanned Aerial Vehicles Using Evolutionary Algorithms

Published:2020 Issue: Volume: Page:337-352
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
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Author:

Gaudín Américo,Madruga Gabriel,Rodríguez Carlos,Iturriaga Santiago,Nesmachnow Sergio,Paz Claudio,Danoy Gregoire,Bouvry Pascal

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-41005-6_23

Reference18 articles.

1. Bäck, T., Fogel, D., Michalewicz, Z.: Handbook of Evolutionary Computation. Oxford University Press, Oxford (1997)

2. Cercueil, A., Francois, O.: Monte Carlo simulation and population-based optimization. In: Proceedings of the Congress on Evolutionary Computation, pp. 191–198 (2001)

3. Deakin, M., Waer, H.A.: From intelligent to smart cities. Intell. Build. Int. 3, 133–139 (2011)

4. Díaz, S., Garate, B., Nesmachnow, S., Iturriaga, S.: Autonomous navigation of unmanned aerial vehicles using markers. In: II Ibero-American Congress on Smart Cities, pp. 1–15 (2019)

5. Dyer, D.: The watchmaker framework for evolutionary computation. http://watchmaker.uncommons.org/ . Accessed May 2019

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