Richard Martin Lusby
Richard Martin Lusby
Associate Professor, Management Science, DTU Management Engineering, Technical University of
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Cited by
Cited by
Railway track allocation: models and methods
RM Lusby, J Larsen, M Ehrgott, D Ryan
OR spectrum 33, 843-883, 2011
Models for the discrete berth allocation problem: A computational comparison
K Buhrkal, S Zuglian, S Ropke, J Larsen, R Lusby
Transportation Research Part E: Logistics and Transportation Review 47 (4 …, 2011
A survey on robustness in railway planning
RM Lusby, J Larsen, S Bull
European Journal of Operational Research 266 (1), 1-15, 2018
A set packing inspired method for real-time junction train routing
RM Lusby, J Larsen, M Ehrgott, DM Ryan
Computers & Operations Research 40 (3), 713-724, 2013
Integrating robust timetabling in line plan optimization for railway systems
S Burggraeve, SH Bull, P Vansteenwegen, RM Lusby
Transportation Research Part C: Emerging Technologies 77, 134-160, 2017
Electric bus planning & scheduling: A review of related problems and methodologies
SSG Perumal, RM Lusby, J Larsen
European Journal of Operational Research 301 (2), 395-413, 2022
Routing trains through railway junctions: a new set-packing approach
R Lusby, J Larsen, D Ryan, M Ehrgott
Transportation Science 45 (2), 228-245, 2011
Rolling stock scheduling with maintenance requirements at the Chinese High-Speed Railway
Q Zhong, RM Lusby, J Larsen, Y Zhang, Q Peng
Transportation Research Part B: Methodological 126, 24-44, 2019
A column generation approach for solving the patient admission scheduling problem
TM Range, RM Lusby, J Larsen
European Journal of Operational Research 235 (1), 252-264, 2014
A branch-and-price algorithm for railway rolling stock rescheduling
RM Lusby, JT Haahr, J Larsen, D Pisinger
Transportation Research Part B: Methodological 99, 228-250, 2017
An exact method for the double TSP with multiple stacks
RM Lusby, J Larsen, M Ehrgott, D Ryan
International Transactions in Operational Research 17 (5), 637-652, 2010
Meta-analysis of metaheuristics: Quantifying the effect of adaptiveness in adaptive large neighborhood search
R Turkeš, K Sörensen, LM Hvattum
European Journal of Operational Research 292 (2), 423-442, 2021
A hybrid column generation approach for an industrial waste collection routing problem
K Hauge, J Larsen, RM Lusby, E Krapper
Computers & Industrial Engineering 71, 10-20, 2014
A solution approach based on Benders decomposition for the preventive maintenance scheduling problem of a stochastic large-scale energy system
R Lusby, LF Muller, B Petersen
Journal of Scheduling 16, 605-628, 2013
An adaptive large neighborhood search procedure applied to the dynamic patient admission scheduling problem
RM Lusby, M Schwierz, TM Range, J Larsen
Artificial intelligence in medicine 74, 21-31, 2016
Tramp ship routing and scheduling with integrated bunker optimization
C Vilhelmsen, R Lusby, J Larsen
EURO Journal on Transportation and Logistics 3, 143-175, 2014
Optimization methods for the train unit shunting problem
JT Haahr, RM Lusby, JC Wagenaar
European Journal of Operational Research 262 (3), 981-995, 2017
Solution approaches for integrated vehicle and crew scheduling with electric buses
SSG Perumal, T Dollevoet, D Huisman, RM Lusby, J Larsen, M Riis
Computers & Operations Research 132, 105268, 2021
Integrating rolling stock scheduling with train unit shunting
J Haahr, RM Lusby
European Journal of Operational Research 259 (2), 452-468, 2017
A matheuristic approach to integrate humping and pullout sequencing operations at railroad hump yards
JT Haahr, RM Lusby
Networks 67 (2), 126-138, 2016
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