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Time-dependent hazardous-materials network design problem

Esfandeh, Tolou; Batta, Rajan; Kwon, Changhyun - In: Transportation science : a journal of the Institute for … 52 (2018) 2, pp. 454-473

Persistent link: https://www.econbiz.de/10011855002

A matheuristic for a telecommunication network design problem with traffic grooming

Wu, Xinyun; Lü, Zhipeng; Glover, Fred - In: Omega : the international journal of management science 90 (2020), pp. 1-13

Persistent link: https://www.econbiz.de/10012120840

An integrated location and routing approach for transporting hazardous materials in a bi-modal transportation network

Ghaderi, Abdolsalam; Burdett, Robert L. - In: Transportation research / E : an international journal 127 (2019), pp. 49-65

Persistent link: https://www.econbiz.de/10012041105

Approximation algorithms for optimal decision trees and adaptive TSP problems

Gupta, Anupam; Nagarajan, Viswanath; Ravi, Ramamoorthi - In: Mathematics of operations research 42 (2017) 3, pp. 876-896

Persistent link: https://www.econbiz.de/10011742546

Optimal cost adjustment for a selfish routing healthcare network

Yi, Yŏng-hun; Choi, Yong Ho - In: Health care management science : a new journal serving … 23 (2020) 4, pp. 585-604

Persistent link: https://www.econbiz.de/10012426486

A mixed integer linear programming model applied in barge planning for Omya

Bredström, David; Haugen, Kjetil; Olstad, Asmund; … - In: Operations research perspectives 2 (2015), pp. 150-155

barges. The barge planning problem falls into the category of inventory routing problems (IRP) and is further characterized …

Persistent link: https://www.econbiz.de/10011822599

A novel matheuristic approach for a two-stage transportation problem with fixed costs associated to the routes

Cosma, Ovidiu; Pop, Petrică C.; Dănciulescu, Daniela - In: Computers & operations research : and their … 118 (2020), pp. 1-10

Persistent link: https://www.econbiz.de/10012236783

Introduction to the special issue on combining optimization and machine learning : application in vehicle routing, network design and crew scheduling

Archetti, Claudia; Cordeau, Jean-François; Desaulniers, Guy - In: EURO journal on transportation and logistics 9 (2020) 4, pp. 1-2

Persistent link: https://www.econbiz.de/10012390917

Special issue on combining optimization and machine learning: applications in vehicle routing, network design and crew scheduling

Feillet, Dominique - 2020

Persistent link: https://www.econbiz.de/10012390939

Optimal Design of Timetables to Maximize Schedule Reliability & Minimize Energy Consumption, Rolling Stock and Crew Deployment

Nag, Bodhibrata; Pal, Manabendra Nath - 2013

We have developed a non-linear multi-objective model for optimal design of railway timetables. The objectives of the model are to maximize schedule reliability and minimize energy consumption, rolling stock and crew deployment. Metrics have been derived for each of these objectives. AHP is used...

Persistent link: https://www.econbiz.de/10014153838