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Conference Paper: Alpha Reliable Network Design with Multiple Objectives and Demand Uncertainty

TitleAlpha Reliable Network Design with Multiple Objectives and Demand Uncertainty
Authors
Chen, ARyu, SYang, CWong, SC
Issue Date2010
PublisherTransportation Research Board (TRB).
Citation
The 89th Annual Meeting of Transportation Research Board (TRB), Washington, D.C. USA, 10-14 January 2010, p. abstract no. 10-2799 How to Cite?
AbstractTransportation network design problem (NDP) is inherently multi-objective in nature, because it involves a number of stakeholders with different needs. In addition, the decision-making process sometimes has to be made under uncertainty where certain inputs are not known exactly. In this paper, we develop an alpha reliable NDP model that considers efficiency and equity with demand uncertainty. To solve the multi-objective alpha reliable NDP model, we adopt the simulation-based multi-objective genetic algorithm (SMOGA) solution procedure that explicitly optimizes all objectives under demand uncertainty by simultaneously generating a family of optimal solutions known as the Pareto optimal solution set. Numerical examples are also presented to illustrate the tradeoff between efficiency and equity in the alpha reliable NDP framework.
DescriptionSession 552: Network Design, Routing, Location, and Scheduling Problems
Fulltext of the abstract in: http://pressamp.trb.org/conferenceinteractiveprogram/PresentationDetails.aspx?ID=34822&Email=
Persistent Identifierhttp://hdl.handle.net/10722/111549

 

DC FieldValueLanguage
dc.contributor.authorChen, Aen_HK
dc.contributor.authorRyu, Sen_HK
dc.contributor.authorYang, Cen_HK
dc.contributor.authorWong, SCen_HK
dc.date.accessioned2010-09-26T02:53:46Z-
dc.date.available2010-09-26T02:53:46Z-
dc.date.issued2010en_HK
dc.identifier.citationThe 89th Annual Meeting of Transportation Research Board (TRB), Washington, D.C. USA, 10-14 January 2010, p. abstract no. 10-2799-
dc.identifier.urihttp://hdl.handle.net/10722/111549-
dc.descriptionSession 552: Network Design, Routing, Location, and Scheduling Problems-
dc.descriptionFulltext of the abstract in: http://pressamp.trb.org/conferenceinteractiveprogram/PresentationDetails.aspx?ID=34822&Email=-
dc.description.abstractTransportation network design problem (NDP) is inherently multi-objective in nature, because it involves a number of stakeholders with different needs. In addition, the decision-making process sometimes has to be made under uncertainty where certain inputs are not known exactly. In this paper, we develop an alpha reliable NDP model that considers efficiency and equity with demand uncertainty. To solve the multi-objective alpha reliable NDP model, we adopt the simulation-based multi-objective genetic algorithm (SMOGA) solution procedure that explicitly optimizes all objectives under demand uncertainty by simultaneously generating a family of optimal solutions known as the Pareto optimal solution set. Numerical examples are also presented to illustrate the tradeoff between efficiency and equity in the alpha reliable NDP framework.-
dc.languageengen_HK
dc.publisherTransportation Research Board (TRB).-
dc.relation.ispartofAnnual Meeting of Transportation Research Boarden_HK
dc.titleAlpha Reliable Network Design with Multiple Objectives and Demand Uncertaintyen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailWong, SC: hhecwsc@hkucc.hku.hken_HK
dc.identifier.authorityWong, SC=rp00191en_HK
dc.identifier.hkuros169073en_HK
dc.identifier.spageabstract no. 10-
dc.identifier.epage2799-
dc.publisher.placeUnited States-

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