A generalized interval fuzzy mixed integer programming model for a multimodal transportation problem under uncertainty

A generalized interval fuzzy mixed integer programming model is proposed for the multimodal freight transportation problem under uncertainty, in which the optimal mode of transport and the optimal amount of each type of freight transported through each path need to be decided. For practical purposes...

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Vydané v:	Engineering optimization Ročník 49; číslo 3; s. 481 - 498
Hlavní autori:	Tian, Wenli, Cao, Chengxuan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Abingdon Taylor & Francis 04.03.2017 Taylor & Francis Ltd
Predmet:	Algorithms Equivalence Freight transportation Fuzzy generalized interval fuzzy mixed integer programming heuristic algorithm Integer programming Intermodal transportation Intervals Linear programming linear relaxation algorithm Mathematical models Multimodal transportation under uncertainty Optimization Uncertainty
ISSN:	0305-215X, 1029-0273
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