Rune Møller Jensen

38 papers A* 6A 2C 1Journal 13Unranked 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
AI2STOW: End-to-End Deep Reinforcement Learning to Construct Master Stowage Plans under Demand Uncertainty.
CoRR
Jaike van Twiller, Djordje Grbic, Rune Møller Jensen
2025 J jnl
Navigating Demand Uncertainty in Container Shipping: Deep Reinforcement Learning for Enabling Adaptive and Feasible Master Stowage Planning.
CoRR
Jaike van Twiller, Yossiri Adulyasak, Erick Delage, Djordje Grbic, Rune Møller Jensen
2024 — conf
An Efficient Integer Programming Model for Solving the Master Planning Problem of Container Vessel Stowage.
ICCL
Jaike van Twiller, Agnieszka Sivertsen, Rune Møller Jensen, Kent Høj Andersen
2024 J jnl
Literature survey on the container stowage planning problem.
Eur. J. Oper. Res.
Jaike van Twiller, Agnieszka Sivertsen, Dario Pacino, Rune Møller Jensen
2023 J jnl
A data-driven bi-objective matheuristic for energy-optimising timetables in a passenger railway network.
J. Rail Transp. Plan. Manag.
Matthias Villads Hinsch Als, Mathias Bejlegaard Madsen, Rune Møller Jensen
2023 — conf
Towards a Deep Reinforcement Learning Model of Master Bay Stowage Planning.
ICCL
Jaike van Twiller, Djordje Grbic, Rune Møller Jensen
2022 — conf
A Linear Time Algorithm for Optimal Quay Crane Scheduling.
ICCL
Mathias Offerlin Herup, Gustav Christian Wichmann Thiesgaard, Jaike van Twiller, Rune Møller Jensen
2021 — conf
Destination Prediction of Oil Tankers Using Graph Abstractions and Recurrent Neural Networks.
ICCL
Búgvi Benjamin Magnussen, Nikolaj Bläser, Rune Møller Jensen, Kenneth Ylänen
2020 J jnl
Matheuristics for slot planning of container vessel bays.
Eur. J. Oper. Res.
Aleksandra Korach, Berit Dangaard Brouer, Rune Møller Jensen
2019 — conf
A Decision Support Tool for Energy-Optimising Railway Timetables Based on Behavioural Data.
ICCL
Mathias Bejlegaard Madsen, Matthias Villads Hinsch Als, Rune Møller Jensen, Sune Edinger Gram
2019 — conf
A Decomposed Fourier-Motzkin Elimination Framework to Derive Vessel Capacity Models.
ICCL
Mai Lise Ajspur, Rune Møller Jensen, Kent Høj Andersen
2018 — conf
The Standard Capacity Model: Towards a Polyhedron Representation of Container Vessel Capacity.
ICCL
Rune Møller Jensen, Mai Lise Ajspur
2016 J jnl
Symbolic Configuration for Interactive Container Ship Stowage Planning.
Comput. Intell.
Christian Kroer, Martin Kjær Svendsen, Rune Møller Jensen, Joseph Kiniry, Eilif Leknes
2015 J jnl
Solving the Liner Shipping Fleet Repositioning Problem with Cargo Flows.
Transp. Sci.
Kevin Tierney, Björg Áskelsdóttir, Rune Møller Jensen, David Pisinger
2014 — conf
Column Generation for the Liner Shipping Fleet Repositioning Problem (Abstract Only).
MKWI
Kevin Tierney, David Pisinger, Rune Møller Jensen
2014 J jnl
On the complexity of container stowage planning problems.
Discret. Appl. Math.
Kevin Tierney, Dario Pacino, Rune Møller Jensen
2013 — conf
A Node Flow Model for the Inflexible Visitation Liner Shipping Fleet Repositioning Problem with Cargo Flows.
ICCL
Kevin Tierney, Rune Møller Jensen
2013 — ed.
Computational Logistics - 4th International Conference, ICCL 2013, Copenhagen, Denmark, September 25-27, 2013. Proceedings
ICCL
Dario Pacino, Stefan Voß, Rune Møller Jensen
2012 J jnl
A Constraint Programming model for fast optimal stowage of container vessel bays.
Eur. J. Oper. Res.
Alberto Delgado, Rune Møller Jensen, Kira Janstrup, Trine Høyer Rose, Kent Høj Andersen
2012 C conf
A placement heuristic for a commercial decision support system for container vessel stowage.
CLEI
Alberto Delgado, Rune Møller Jensen, Nicolas Guilbert
2012 — conf
An Accurate Model for Seaworthy Container Vessel Stowage Planning with Ballast Tanks.
ICCL
Dario Pacino, Alberto Delgado, Rune Møller Jensen, Tom Bebbington
2012 A* conf
Automated Planning for Liner Shipping Fleet Repositioning.
ICAPS
Kevin Tierney, Amanda Jane Coles, Andrew Coles, Christian Kroer, Adam M. Britt, Rune Møller Jensen
2012 — conf
The Liner Shipping Fleet Repositioning Problem with Cargo Flows.
ICCL
Kevin Tierney, Rune Møller Jensen
2011 — conf
Fast Generation of Near-Optimal Plans for Eco-Efficient Stowage of Large Container Vessels.
ICCL
Dario Pacino, Alberto Delgado, Rune Møller Jensen, Tom Bebbington
2011 J jnl
OBDD-based Universal Planning for Synchronized Agents in Non-Deterministic Domains
CoRR
Rune Møller Jensen, Manuela M. Veloso
2011 A* conf
Phase recognition during surgical procedures using embedded and body-worn sensors.
PerCom
Jakob E. Bardram, Afsaneh Doryab, Rune Møller Jensen, Poul M. Lange, Kristian L. G. Nielsen, Soren T. Petersen
2009 A conf
Generating Optimal Stowage Plans for Container Vessel Bays.
CP
Alberto Delgado, Rune Møller Jensen, Christian Schulte
2008 J jnl
State-set branching: Leveraging BDDs for heuristic search.
Artif. Intell.
Rune Møller Jensen, Manuela M. Veloso, Randal E. Bryant
2007 J jnl
Calculating Valid Domains for BDD-Based Interactive Configuration
CoRR
Tarik Hadzic, Rune Møller Jensen, Henrik Reif Andersen
2006 A* conf
Memory-Efficient Symbolic Heuristic Search.
ICAPS
Rune Møller Jensen, Eric A. Hansen, Simon Richards, Rong Zhou
2004 A conf
CLab: A C++ Library for Fast Backtrack-Free Interactive Product Configuration..
CP
Rune Møller Jensen
2004 A* conf
Fault Tolerant Planning: Toward Probabilistic Uncertainty Models in Symbolic Non-Deterministic Planning.
ICAPS
Rune Møller Jensen, Manuela M. Veloso, Randal E. Bryant
2003 A* conf
A Formalization of Equilibria for Multiagent Planning.
IJCAI
Michael H. Bowling, Rune Møller Jensen, Manuela M. Veloso
2003 A* conf
Guided Symbolic Universal Planning.
ICAPS
Rune Møller Jensen, Manuela M. Veloso, Randal E. Bryant
2002 — conf
SetA*: An Efficient BDD-Based Heuristic Search Algorithm.
AAAI/IAAI
Rune Møller Jensen, Randal E. Bryant, Manuela M. Veloso
2000 — conf
OBDD-Based Universal Planning for Multiple Synchronized Agents in Non-Deterministic Domains.
AIPS
Rune Møller Jensen, Manuela M. Veloso
2000 J jnl
OBDD-based Universal Planning for Synchronized Agents in Non-Deterministic Domains.
J. Artif. Intell. Res.
Rune Møller Jensen, Manuela M. Veloso
1999 — ch.
OBDD-based Universal Planning: Specifying and Solving Planning Problems for Synchronized Agents in Non-deterministic Domains.
Artificial Intelligence Today
Rune Møller Jensen, Manuela M. Veloso