Application of hierarchical facility location problem for optimization of a drone delivery system: a case study of Amazon prime air in the city of San Francisco-Reference-Cited by-同舟云学术

Application of hierarchical facility location problem for optimization of a drone delivery system: a case study of Amazon prime air in the city of San Francisco

Published:2017-12-07 Issue:9-12 Volume:95 Page:3141-3153
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Shavarani Seyed Mahdi,Nejad Mazyar Ghadiri,Rismanchian Farhood,Izbirak Gokhan

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Link

http://link.springer.com/article/10.1007/s00170-017-1363-1/fulltext.html

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2. Basti M, Sevkli M (2015) An artificial bee colony algorithm for the p-median facility location problem. Int J Met 4(1):91. https://doi.org/10.1504/IJMHEUR.2015.071769

3. Bhattacharya R, Bandyopadhyay S (2010) Solving conflicting bi-objective facility location problem by NSGA II evolutionary algorithm. Adv Manuf Technol Retrieved from 51(1-4):397–414. https://doi.org/10.1007/s00170-010-2622-6

4. Camacho-Vallejo J-F, Cordero-Franco ÁE, González-Ramírez RG (2014) Solving the bilevel facility location problem under preferences by a Stackelberg-evolutionary algorithm. Math Probl Eng 2014:1–14. https://doi.org/10.1155/2014/430243

5. D’Andrea R (2014) Guest editorial can drones deliver? IEEE Trans Autom Sci Eng 11(3):647–648. https://doi.org/10.1109/TASE.2014.2326952

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