Hybrid solution methods for a continuous-time multi-period hub location problem with time-dependent demand and sustainability considerations
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Title
Hybrid solution methods for a continuous-time multi-period hub location problem with time-dependent demand and sustainability considerations
Authors
Keywords
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Journal
Journal of Ambient Intelligence and Humanized Computing
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-06-03
DOI
10.1007/s12652-022-03879-w
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- (2014) M. Mohammadi et al. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
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- (2007) S.A. Torabi et al. FUZZY SETS AND SYSTEMS
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