Dario Pacino

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Stefan RopkeTechnical University of Denmark, Department of Management EngineeringVerified email at dtu.dk
Çağatay IrisLecturer (Asst Prof), University of LiverpoolVerified email at liverpool.ac.uk
Allan LarsenProfessor, DTU Management, Technical University of DenmarkVerified email at dtu.dk
Jonas ChristensenPh.D. Candiate, Technical University of Denmark, Management EngineeringVerified email at dtu.dk
Kevin TierneyBielefeld UniversityVerified email at uni-bielefeld.de
Stefan VoßProfessor of Information Systems, University of HamburgVerified email at uni-hamburg.de
Francisco ParreñoUniversidad de Castilla-La ManchaVerified email at uclm.es
Harilaos N. PsaraftisProfessor, DTU Management, Technical University of DenmarkVerified email at dtu.dk
Filipe RodriguesTechnical University of Denmark (DTU)Verified email at dtu.dk
Daniele GammelliTechnical University of DenmarkVerified email at dtu.dk
Pascal Van HentenryckGeorgia Institute of TechnologyVerified email at isye.gatech.edu
Christos A. KontovasReader in Sustainable Maritime Transportation and Logistics, Liverpool John Moores UniversityVerified email at ljmu.ac.uk
Min WenAssociate Professor, Department of Mathematical Sciences, Xi'an Jiaotong-Liverpool UniversityVerified email at xjtlu.edu.cn
Francisco C PereiraTechnical University of DenmarkVerified email at smart.mit.edu
Inon PeledDTU, Technical University of DenmarkVerified email at dtu.dk
Rune LarsenAssociate professor, Technical University of DenmarkVerified email at transport.dtu.dk
Roberto RobertiDepartment of Information Engineering (DEI) - University of PadovaVerified email at unipd.it
Alan EreraProfessor, Industrial and Systems Engineering, Georgia Institute of TechnologyVerified email at isye.gatech.edu
Bernardo Martin-IradiPhD StudentVerified email at dtu.dk
Satya Sarvani MalladiSenior Director - Data Science and Innovation, Kantar Analytics PracticeVerified email at kantar.com

Dario Pacino

DTU - Management Engineering

Verified email at dtu.dk

logistics optimization constraint programming metaheuristics


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Integrated berth allocation and quay crane assignment problem: Set partitioning models and computational results Ç Iris, D Pacino, S Ropke, A Larsen Transportation Research Part E: Logistics and Transportation Review 81, 75-97, 2015	124	2015
Fast generation of near-optimal plans for eco-efficient stowage of large container vessels D Pacino, A Delgado, RM Jensen, T Bebbington International Conference on Computational Logistics, 286-301, 2011	91	2011
A multiple ship routing and speed optimization problem under time, cost and environmental objectives M Wen, D Pacino, CA Kontovas, HN Psaraftis Transportation Research Part D: Transport and Environment 52, 303-321, 2017	90	2017
Improved formulations and an adaptive large neighborhood search heuristic for the integrated berth allocation and quay crane assignment problem Ç Iris, D Pacino, S Ropke Transportation Research Part E: Logistics and Transportation Review 105, 123-147, 2017	82	2017
Flexible ship loading problem with transfer vehicle assignment and scheduling Ç Iris, J Christensen, D Pacino, S Ropke Transportation Research Part B: Methodological 111, 113-134, 2018	63	2018
A GRASP algorithm for the container stowage slot planning problem F Parreño, D Pacino, R Alvarez-Valdes Transportation Research Part E: Logistics and Transportation Review 94, 141-157, 2016	54	2016
On the complexity of container stowage planning problems K Tierney, D Pacino, RM Jensen Discrete Applied Mathematics 169, 225-230, 2014	54	2014
Solving the pre-marshalling problem to optimality with A* and IDA K Tierney, D Pacino, S Voß Flexible Services and Manufacturing Journal 29 (2), 223-259, 2017	47	2017
Large neighborhood search and adaptive randomized decompositions for flexible jobshop scheduling D Pacino, P Van Hentenryck Twenty-second International Joint Conference on Artificial Intelligence, 2011	45	2011
An accurate model for seaworthy container vessel stowage planning with ballast tanks D Pacino, A Delgado, RM Jensen, T Bebbington International Conference on Computational Logistics, 17-32, 2012	34	2012
Fast generation of container vessel stowage plans D Pacino, RM Jensen IT University of Copenhagen.–2012.–105 p, 2012	33	2012
A matheuristic for the cargo mix problem with block stowage J Christensen, D Pacino Transportation Research Part E: Logistics and Transportation Review 97, 151-171, 2017	19	2017
Constraint-Based Local Search for Container Stowage Slot Planning D Pacino, RM Jensen Proceedings of The International MultiConference of Engineers and Computer …, 2012	19	2012
Estimating latent demand of shared mobility through censored gaussian processes D Gammelli, I Peled, F Rodrigues, D Pacino, HA Kurtaran, FC Pereira Transportation Research Part C: Emerging Technologies 120, 102775, 2020	17	2020
A decomposition method for finding optimal container stowage plans R Roberti, D Pacino Transportation Science 52 (6), 1444-1462, 2018	15	2018
A survey on the ship loading problem C Iris, D Pacino International Conference on Computational Logistics, 238-251, 2015	15	2015
Fast delta evaluation for the vehicle routing problem with multiple time windows R Larsen, D Pacino arXiv preprint arXiv:1905.04114, 2019	8	2019
A heuristic and a benchmark for the stowage planning problem R Larsen, D Pacino Maritime Economics & Logistics 23 (1), 94-122, 2021	7	2021
A rolling horizon heuristic for the stochastic cargo mix problem J Christensen, A Erera, D Pacino Transportation Research Part E: Logistics and Transportation Review 123, 200-220, 2019	7	2019
Fast slot planning using constraint-based local search D Pacino, RM Jensen IAENG Transactions on Engineering Technologies, 49-63, 2013	7	2013

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