An efficient heuristic for multi-objective train load planning: A parameter sensitivity analysis

Hilde Heggen; Kris Braekers; An Caris

An efficient heuristic for multi-objective train load planning: A parameter sensitivity analysis

Hilde Heggen, Kris Braekers, An Caris

Quantitative Economics

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

Abstract

Intermodal transportation is evolving towards a synchromodal system with real-time switching, in which most assignment decisions are postponed until the final planning phase. In such environment, it is important to assist train planners by providing decision support in the operational environment in which they operate. One important task for train planners concerns train load planning, which is concerned with the assignment of load units to the available slots on a train. In this paper, a sensitivity analysis of the parameters of a multi-objective heuristic algorithm for train load planning is presented, which accounts for different aspects of train capacity utilization. The tuned heuristic algorithm provides a number of load plans from which planners can choose the most relevant plan for the specific circumstances they are operating in at that moment.

Original language	English
Title of host publication	19th International Conference on Harbor, Maritime and Multimodal Logistics Modeling and Simulation, HMS 2017
Subtitle of host publication	Held at the International Multidisciplinary Modeling and Simulation Multiconference (I3M 2017)
Editors	ELEONORA BOTTANI, AGOSTINO G. BRUZZONE, FRANCESCO LONGO, YURY MERKURYEV, MIQUEL ANGEL PIERA
Publisher	CAL-TEK Srl
Pages	1-10
Number of pages	10
ISBN (Print)	9788897999874, 9781510847675
Publication status	Published - 1 Jan 2017
Event	19th International Conference on Harbor, Maritime and Multimodal Logistics Modeling and Simulation - Barcelona, Spain Duration: 18 Sept 2017 → 20 Sept 2017 Conference number: 19

Conference

Conference	19th International Conference on Harbor, Maritime and Multimodal Logistics Modeling and Simulation
Abbreviated title	HMS 2017
Country/Territory	Spain
City	Barcelona
Period	18/09/17 → 20/09/17

Keywords

Intermodal transportation
Multi-directional local search
Train load planning

Access to Document

https://www.proceedings.com/content/036/036083webtoc.pdf

Cite this

Heggen, H., Braekers, K., & Caris, A. (2017). An efficient heuristic for multi-objective train load planning: A parameter sensitivity analysis. In ELEONORA. BOTTANI, AGOSTINO. G. BRUZZONE, FRANCESCO. LONGO, YURY. MERKURYEV, & MIQUEL. ANGEL. PIERA (Eds.), 19th International Conference on Harbor, Maritime and Multimodal Logistics Modeling and Simulation, HMS 2017: Held at the International Multidisciplinary Modeling and Simulation Multiconference (I3M 2017) (pp. 1-10). CAL-TEK Srl. https://www.proceedings.com/content/036/036083webtoc.pdf

Heggen, Hilde ; Braekers, Kris ; Caris, An. / An efficient heuristic for multi-objective train load planning : A parameter sensitivity analysis. 19th International Conference on Harbor, Maritime and Multimodal Logistics Modeling and Simulation, HMS 2017: Held at the International Multidisciplinary Modeling and Simulation Multiconference (I3M 2017). editor / ELEONORA BOTTANI ; AGOSTINO G. BRUZZONE ; FRANCESCO LONGO ; YURY MERKURYEV ; MIQUEL ANGEL PIERA. CAL-TEK Srl, 2017. pp. 1-10

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title = "An efficient heuristic for multi-objective train load planning: A parameter sensitivity analysis",

abstract = "Intermodal transportation is evolving towards a synchromodal system with real-time switching, in which most assignment decisions are postponed until the final planning phase. In such environment, it is important to assist train planners by providing decision support in the operational environment in which they operate. One important task for train planners concerns train load planning, which is concerned with the assignment of load units to the available slots on a train. In this paper, a sensitivity analysis of the parameters of a multi-objective heuristic algorithm for train load planning is presented, which accounts for different aspects of train capacity utilization. The tuned heuristic algorithm provides a number of load plans from which planners can choose the most relevant plan for the specific circumstances they are operating in at that moment.",

keywords = "Intermodal transportation, Multi-directional local search, Train load planning",

author = "Hilde Heggen and Kris Braekers and An Caris",

note = "Funding Information: This work is partially funded by the Interuniversity Attraction Poles Programme initiated by the Belgian Science Policy Office (research project COMEX, Combinatorial Optimization: Metaheuristics & Exact Methods). The computational resources and services used in this work were provided by the VSC (Flemish Supercomputer Center), funded by the Research Foundation - Flanders (FWO) and the Flemish Government department EWI. Publisher Copyright: {\textcopyright} 2017 I3M Conference. All rights reserved.; 19th International Conference on Harbor, Maritime and Multimodal Logistics Modeling and Simulation, HMS 2017 ; Conference date: 18-09-2017 Through 20-09-2017",

year = "2017",

month = jan,

day = "1",

language = "English",

isbn = "9788897999874",

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editor = "ELEONORA BOTTANI and BRUZZONE, {AGOSTINO G.} and FRANCESCO LONGO and YURY MERKURYEV and PIERA, {MIQUEL ANGEL}",

booktitle = "19th International Conference on Harbor, Maritime and Multimodal Logistics Modeling and Simulation, HMS 2017",

publisher = "CAL-TEK Srl",

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Heggen, H, Braekers, K & Caris, A 2017, An efficient heuristic for multi-objective train load planning: A parameter sensitivity analysis. in ELEONORA BOTTANI, AGOSTINOG BRUZZONE, FRANCESCO LONGO, YURY MERKURYEV & MIQUELANGEL PIERA (eds), 19th International Conference on Harbor, Maritime and Multimodal Logistics Modeling and Simulation, HMS 2017: Held at the International Multidisciplinary Modeling and Simulation Multiconference (I3M 2017). CAL-TEK Srl, pp. 1-10, 19th International Conference on Harbor, Maritime and Multimodal Logistics Modeling and Simulation, Barcelona, Spain, 18/09/17. <https://www.proceedings.com/content/036/036083webtoc.pdf>

An efficient heuristic for multi-objective train load planning: A parameter sensitivity analysis. / Heggen, Hilde; Braekers, Kris; Caris, An.
19th International Conference on Harbor, Maritime and Multimodal Logistics Modeling and Simulation, HMS 2017: Held at the International Multidisciplinary Modeling and Simulation Multiconference (I3M 2017). ed. / ELEONORA BOTTANI; AGOSTINO G. BRUZZONE; FRANCESCO LONGO; YURY MERKURYEV; MIQUEL ANGEL PIERA. CAL-TEK Srl, 2017. p. 1-10.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

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N2 - Intermodal transportation is evolving towards a synchromodal system with real-time switching, in which most assignment decisions are postponed until the final planning phase. In such environment, it is important to assist train planners by providing decision support in the operational environment in which they operate. One important task for train planners concerns train load planning, which is concerned with the assignment of load units to the available slots on a train. In this paper, a sensitivity analysis of the parameters of a multi-objective heuristic algorithm for train load planning is presented, which accounts for different aspects of train capacity utilization. The tuned heuristic algorithm provides a number of load plans from which planners can choose the most relevant plan for the specific circumstances they are operating in at that moment.

AB - Intermodal transportation is evolving towards a synchromodal system with real-time switching, in which most assignment decisions are postponed until the final planning phase. In such environment, it is important to assist train planners by providing decision support in the operational environment in which they operate. One important task for train planners concerns train load planning, which is concerned with the assignment of load units to the available slots on a train. In this paper, a sensitivity analysis of the parameters of a multi-objective heuristic algorithm for train load planning is presented, which accounts for different aspects of train capacity utilization. The tuned heuristic algorithm provides a number of load plans from which planners can choose the most relevant plan for the specific circumstances they are operating in at that moment.

KW - Intermodal transportation

KW - Multi-directional local search

KW - Train load planning

M3 - Conference article in proceeding

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SN - 9781510847675

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BT - 19th International Conference on Harbor, Maritime and Multimodal Logistics Modeling and Simulation, HMS 2017

A2 - BOTTANI, ELEONORA

A2 - BRUZZONE, AGOSTINO G.

A2 - LONGO, FRANCESCO

A2 - MERKURYEV, YURY

A2 - PIERA, MIQUEL ANGEL

PB - CAL-TEK Srl

Y2 - 18 September 2017 through 20 September 2017

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Heggen H, Braekers K, Caris A. An efficient heuristic for multi-objective train load planning: A parameter sensitivity analysis. In BOTTANI ELEONORA, BRUZZONE AGOSTINOG, LONGO FRANCESCO, MERKURYEV YURY, PIERA MIQUELANGEL, editors, 19th International Conference on Harbor, Maritime and Multimodal Logistics Modeling and Simulation, HMS 2017: Held at the International Multidisciplinary Modeling and Simulation Multiconference (I3M 2017). CAL-TEK Srl. 2017. p. 1-10