Integrating Operators’ Preferences into Decisions of Unmanned Aerial Vehicles: Multi-layer Decision Engine and Incremental Preference Elicitation-Reference-Cited by-同舟云学术

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Integrating Operators’ Preferences into Decisions of Unmanned Aerial Vehicles: Multi-layer Decision Engine and Incremental Preference Elicitation

Published:2019 Issue: Volume: Page:49-64
ISSN:0302-9743
Container-title:Algorithmic Decision Theory
language:
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Author:

Khannoussi Arwa,Olteanu Alexandru-Liviu,Labreuche Christophe,Narayan Pritesh,Dezan Catherine,Diguet Jean-Philippe,Petit-Frère Jacques,Meyer Patrick

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-31489-7_4

Reference25 articles.

1. Ajami, A., Balmat, J.F., Gauthier, J.P., Maillot, T.: Path planning and ground control station simulator for UAV. In: IEEE Aerospace Conference, pp. 1–13 (2013)

2. Arantes, M.S., Arantes, J.S., Toledo, C.F.M., Williams, B.C.: A hybrid multi-population genetic algorithm for UAV path planning. In: Proceedings of the Genetic and Evolutionary Computation Conference 2016, GECCO 2016, pp. 853–860. ACM, New York (2016)

3. Benabbou, N., Perny, P., Viappiani, P.: Incremental elicitation of Choquet capacities for multicriteria choice, ranking and sorting problems. Artif. Intell. 246 , 152–180 (2017)

4. Blackmore, L., Ono, M., Williams, B.C.: Chance-constrained optimal path planning with obstacles. IEEE Trans. Robot. 27 (6), 1080–1094 (2011)

5. Bouyssou, D., Marchant, T.: Multiattribute preference models with reference points. Eur. J. Oper. Res. 229 (2), 470–481 (2013)

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1. Ranking with Multiple Reference Points: Efficient SAT-based learning procedures;Computers & Operations Research;2023-02

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