A multi-objective formulation for multimodal transportation network's planning problems

Mnif, Mouna Gargouri; Bouamama, Sadok

doi:10.1109/soli.2017.8120985

Cited by 11 publications

(2 citation statements)

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“…Thestructureofthispaperisorganizedasfollows:Section2outlinesaclassificationrelyingon theexistentcharacteristicsoftransportationproblemsandpresentsataxonomyofobjectivesfunctions basedonoptimizationandtransportationproblems.Section3discussesanoverviewofthemodeling andresolutionmethodthatsolvesthemostcommontransportationproblemsbymeansofasingle objective.Section4discussesanoverviewofthemodelingandresolutionmethodsthatsolvethe principaltransportationproblemsusingmultipleobjectives.Thissectionendswithasynthesisand criticizesmainliteratureresearches.Section5focusesonasurveyoftheexistentresearchesdealing withmultimodaltransportationproblemsanddefiningtheirmainextensions.Thissectionissplitinto threesub-sections,i.e.,thesingleobjectiveoptimizationproblems,themulti-objectiveoptimization and ultimately, a critical comment, which is discussed. Besides, a multi-objective mathematical formulationiscited.Correspondingly,thereadersarereferredto (Mnif&Bouamama,2017b,2017a. Finally,section6concludeswithasummaryandsuggestssomefutureresearchdirections.…”

Section: Introductionmentioning

confidence: 96%

Multi-Objective Optimization Methods for Transportation Network Problems

Mnif

Bouamama²

2020

International Journal of Operations Research and Information Systems

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This article recapitulates literature research solving transportation problems and these variants, notably the multimodal transportation problems variants. Moreover, the existing optimization methods critiqued and synthesized their efficiency to solve the transportation problem. This problem can be identified by various criteria and objectives functions that distinguished according to the case study. Based on the existing literature research, a taxonomy is proposed to distinguish different factors and criteria that perform and influence the multi-objective optimization on the transportation network planning problems. The transportation problems are cited according to these objective functions, and the variant of the problem by referring to the previous studies. In this article, the authors have focused their attention on a recent multi-objective mathematical model to solve the planning network of the multimodal transportation problem.

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Section: Introductionmentioning

confidence: 96%

Multi-Objective Optimization Methods for Transportation Network Problems

Mnif

Bouamama²

2020

International Journal of Operations Research and Information Systems

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“…Liu et al [26] proposed a multiobjective 0-1 programming model to minimize the total transport cost and the total carbon emissions of transport and demonstrated that the model can effectively retain elite individuals and reduce calculation complexity. To solve the multiobjective optimization in multimodal transport networks, Mnif and Bouamama [27] designed a mathematical model with linear and nonlinear constraints, verified the effectiveness of the model through experiments, and compared the model with the other models in the literature. Focusing on personalized travel planning in big cities with a complex environment, Haqqani et al [28] put forward an adaptive multicriteria evolutionary algorithm, which integrates passenger preference into travel planning.…”

Section: Introductionmentioning

confidence: 99%

Path Design and Planning and Investment and Construction Mode of Multimodal Transport Network Based on Big Data Analysis

Wang

2022

Discrete Dynamics in Nature and Society

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Currently, long-distance freight transport is shifting towards multimodal transport, the combination of multiple freight transport modes. Multimodal transport enables enterprises with the same logistics function to operate on the same level of the supply chain. Through horizontal cooperation, these enterprises can give play to their advantages, make up their deficiencies, improve service levels, reduce cost input, and thereby enhance market status. Therefore, multimodal transport is an intensive development model that promotes the alliance between giants. The reasonable path design and planning (PDP) and investment and construction mode (ICM) of the multimodal transport network help freight demanders, as well as multimodal freight transport platforms, obtain the maximum profit. Therefore, this paper explores the PDP and ICM of the multimodal transport network based on big data analysis. Firstly, the influencing factors and behavioral features of multimodal transport were deeply examined, drawing on the logit model and the big data on multiple freight services, namely, railway transport, highway transport, waterway transport, and airway transport. After classifying the freights, the authors analyzed the modeling and decision-making of path design and optimization (PDO) for multimodal transport network. The proposed model was proved effective through experiments. This paper theoretically explores the goals, principles, and needs of path selection in the modern transportation industry. In a realistic sense, the research findings help decision-makers optimize their decisions on the multimodal transport network and operate the network at the minimum transport cost.

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