Daniel Guimarans
Daniel Guimarans
Senior Operations Research Scientist, Amazon
Verified email at amazon.com - Homepage
Cited by
Cited by
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
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
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
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
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
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 (3), 299-315, 2011
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
A methodology combining optimization and simulation for real applications of the Stochastic Aircraft Recovery Problem
P Arias, D Guimarans, MA Mújica, G Boosten
Large neighbourhood search and simulation for disruption management in the airline industry
D Guimarans, P Arias, MM Mota
Applied Simulation and Optimization, 169-201, 2015
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
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
Applied Simulation and Optimization: In Logistics, Industrial and Aeronautical Practice
M Mujica Mota, I Flores de la Mota, D Guimarans Serrano
Springer, 2015
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
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
Transactions on Large-Scale Data-and Knowledge-Centered Systems XVIII
A Hameurlain, J Küng, R Wagner, H Decker, L Lhotska, S Link
Springer Berlin Heidelberg:., 2015
Hybrid algorithms for solving routing problems
D Guimarans
PhD, Universitat Autňnoma de Barcelona, 2012
Lagrangean metaheuristic for the travelling salesman problem
R Herrero, JJ Ramos, D Guimarans40
José-Rodrigo Córdoba School of Management, Royal Holloway University of …, 2010
A technological platform for designing real-time decision tools in transportation logistics
JJ Ramos, D Guimarans, MŔ Piera, A Guasch
European Modelling and Simulation Symposium, 2006
A simulation based decision tool to coordinate emergency services in a road accident
D Guimarans, JJ Ramos, MA Piera, A Guasch
SIMULATION SERIES 38 (4), 110, 2006
Combining Constraint Programming, Lagrangian Relaxation and Probabilistic Algorithms to solve the Vehicle Routing Problem.
D Guimarans, R Herrero, D Riera, AA Juan, JJ Ramos
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