Simulated Annealing and Iterated Local Search Approaches to the Aircraft Refueling Problem-Reference-Cited by-同舟云学术

Simulated Annealing and Iterated Local Search Approaches to the Aircraft Refueling Problem

Published:2021 Issue: Volume: Page:422-438
ISSN:0302-9743
Container-title:Computational Science and Its Applications – ICCSA 2021
language:
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Author:

Zampirolli Karyne Alves^ORCID,Amaral André Renato Sales^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-86973-1_30

Reference12 articles.

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3. Bräysy, O., Gendreau, M.: Vehicle routing problem with time windows, part i: route construction and local search algorithms. Transp. Sci. 39(1), 104–118 (2005)

4. Du, Y., Zhang, Q., Chen, Q.: Aco-ih: an improved ant colony optimization algorithm for airport ground service scheduling. In: IEEE International Conference on Industrial Technology, pp. 1–6 (2008). https://doi.org/10.1109/ICIT.2008.4608674

5. Gamayanti, N., Sahal, M., Wibisono, A.: Optimization of vehicle routing problem with tight time windows, short travel time and re-used vehicles (vrptsr) for aircraft refueling in airport using ant colony optimization algorithm. J. Adv. Res. Electric. Eng. 2(1), 43–46 (2018)

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