Uncertain multilevel programming with application to omni-channel vehicle routing problem
Author:
Funder
Natural Science Foundation of Hebei Province
the Key Project of Hebei Education Department
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-022-04419-2.pdf
Reference48 articles.
1. Abdulkader MMS, Gajpal Y, Elmekkawy TY (2018) Vehicle routing problem in omni-channel retailing distribution systems. Int J Prod Econ 196:43–55. https://doi.org/10.1016/j.ijpe.2017.11.011
2. Abo-Elnaga Y, Nasr S (2022) K-means cluster interactive algorithm-based evolutionary approach for solving bilevel multi-objective programming problems. Alexandria Eng J 61(1):811–827. https://doi.org/10.1016/j.aej.2021.04.098
3. Ahmadzade H, Gao R (2018) Reversed hazard function of uncertain lifetime. Fuzzy Opt Decision Making 17(4):387–400. https://doi.org/10.1007/s10700-017-9281-0
4. Barma PS, Dutta J, Mukherjee A et al (2021) A hybrid GA-BFO algorithm for the profit-maximizing capacitated vehicle routing problem under uncertain paradigm. J Intell Fuzzy Syst 40(5):8709–8725. https://doi.org/10.3233/JIFS-192134
5. Barma PS, Dutta J, Mukherjee A et al (2022) A multi-objective ring star vehicle routing problem for perishable items. J Ambient Intell Human Comput 13:2355–2380. https://doi.org/10.1007/s12652-021-03059-2
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1. Vehicle routing problem for omnichannel retailing including multiple types of time windows and products;Computers & Operations Research;2025-01
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