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Daniel Guimarans
Daniel Guimarans
Principal Research Scientist, Amazon
Email verificata su amazon.com - Home page
Titolo
Citata da
Citata da
Anno
Rich vehicle routing problem: Survey
J Caceres-Cruz, P Arias, D Guimarans, D Riera, AA Juan
ACM Computing Surveys (CSUR) 47 (2), 1-28, 2014
3762014
Combining biased randomization with iterated local search for solving the multidepot vehicle routing problem
AA Juan, I Pascual, D Guimarans, B Barrios
International Transactions in Operational Research 22 (4), 647-667, 2015
912015
A biased-randomised large neighbourhood search for the two-dimensional vehicle routing problem with backhauls
O Dominguez, D Guimarans, AA Juan, I de la Nuez
European Journal of Operational Research 255 (2), 442-462, 2016
902016
A bi-objective approach for scheduling ground-handling vehicles in airports
S Padrón, D Guimarans, JJ Ramos, S Fitouri-Trabelsi
Computers & Operations Research 71, 34-53, 2016
852016
A simheuristic approach for the two-dimensional vehicle routing problem with stochastic travel times
D Guimarans, O Dominguez, J Panadero, AA Juan
Simulation Modelling Practice and Theory 89, 1-14, 2018
782018
A BRILS metaheuristic for non-smooth flow-shop problems with failure-risk costs
A Ferrer, D Guimarans, H Ramalhinho, AA Juan
Expert Systems with Applications 44, 177-186, 2016
432016
A simheuristic algorithm for the capacitated location routing problem with stochastic demands
CL Quintero-Araujo, D Guimarans, AA Juan
Journal of Simulation 15 (3), 217-234, 2021
332021
A methodology combining optimization and simulation for real applications of the Stochastic Aircraft Recovery Problem
P Arias, D Guimarans, MA Mújica, G Boosten
EUROSIM, 2013
312013
Combining probabilistic algorithms, constraint programming and lagrangian relaxation to solve the vehicle routing problem
D Guimarans, R Herrero, D Riera, AA Juan, JJ Ramos
Annals of Mathematics and Artificial Intelligence 62, 299-315, 2011
262011
An improved method for scheduling aircraft ground handling operations from a global perspective
S Padrón, D Guimarans
Asia-Pacific Journal of Operational Research 36 (04), 1950020, 2019
252019
Large neighbourhood search and simulation for disruption management in the airline industry
D Guimarans, P Arias, MM Mota
Applied simulation and optimization: in logistics, industrial and …, 2015
252015
A review of sustainability in aviation: A multidimensional perspective
D Guimarans, P Arias, M Tomasella, CL Wu
Sustainable transportation and smart logistics, 91-121, 2019
192019
Solving vehicle routing problems using constraint programming and lagrangean relaxation in a metaheuristics framework
D Guimarans, R Herrero, JJ Ramos, S Padrón
Wang, John (IGI Global), 2013
192013
STTAR: a simheuristics-enabled scheme for multi-stakeholder coordination of aircraft turnaround operations
M Tomasella, A Clare, YS Gök, D Guimarans, C Ozturk
2019 Winter Simulation Conference (WSC), 488-499, 2019
172019
Constraint-based robust planning and scheduling of airport apron operations through simheuristics
YS Gök, S Padrón, M Tomasella, D Guimarans, C Ozturk
Annals of Operations Research 320 (2), 795-830, 2023
162023
A simheuristic approach for robust scheduling of airport turnaround teams
YS Gök, M Tomasella, D Guimarans, C Ozturk
2020 Winter Simulation Conference (WSC), 1336-1347, 2020
132020
Multi-objective optimisation of rolling upgrade allowing for failures in clouds
D Sun, D Guimarans, A Fekete, V Gramoli, L Zhu
2015 IEEE 34th Symposium on Reliable Distributed Systems (SRDS), 68-73, 2015
122015
A stochastic approach for planning airport ground support resources
D Guimarans, S Padron
International Transactions in Operational Research 29 (6), 3316-3345, 2022
112022
A multi-start simheuristic for the stochastic two-dimensional vehicle routing problem
D Guimarans, O Domínguez, AA Juan, E Martínez
2016 Winter simulation conference (Wsc), 2326-2334, 2016
112016
Robust resource planning for aircraft ground operations
YS Gök, D Guimarans, PJ Stuckey, M Tomasella, C Ozturk
Integration of Constraint Programming, Artificial Intelligence, and …, 2020
102020
Il sistema al momento non puň eseguire l'operazione. Riprova piů tardi.
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