A new bi-objective model of the urban public transportation hub network design under uncertainty

This paper presents a new bi-objective multi-modal hub location problem with multiple assignment and capacity considerations for the design of an urban public transportation network under uncertainty. Because of the high construction costs of hub links in an urban public transportation network, it i...

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Veröffentlicht in:	Annals of operations research Jg. 296; H. 1-2; S. 131 - 162
Hauptverfasser:	Kaveh, Firoozeh, Tavakkoli-Moghaddam, Reza, Triki, Chefi, Rahimi, Yaser, Jamili, Amin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.01.2021 Springer Springer Nature B.V
Schlagworte:	Business and Management Combinatorics Construction costs Genetic algorithms Heuristic methods Mathematical programming Monorails Multiple objective analysis Network design Operations research Operations Research/Decision Theory Particle swarm optimization Public transportation S.i.: Mopgp 2017 Site selection Sorting algorithms Theory of Computation Uncertainty Urban transportation Iran Elastic demand Urban transportation Capacitated hub location problem Fuzzy multi-objective programming Meta-heuristics
ISSN:	0254-5330, 1572-9338
Online-Zugang:	Volltext
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