Determination of weights for multiobjective combinatorial optimization in incident management with an evolutionary algorithm

Type
01A - Journal article
Editors
Editor (Corporation)
Supervisor
Parent work
IEEE Access
Special issue
DOI of the original publication
Link
Series
Series number
Volume
11
Issue / Number
Pages / Duration
138502-138514
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Publisher / Publishing institution
IEEE
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Programming language
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Abstract
Incident management in railway operations includes dealing with complex and multiobjective planning problems with numerous constraints, usually with incomplete information and under time pressure. An incident should be resolved quickly with minor deviations from the original plans and at acceptable costs. The problem formulation usually includes multiple objectives relevant to a railway company and the employees involved in controlling operations. Still, there is little established knowledge and agreement regarding the relative importance of objectives such as expressed by weights. Due to the difficulties in assessing weights in a multiobjective context directly involving decision makers, we elaborate on the autoconfiguration of weighted fitness functions based on nine objectives used in a related Integer Linear Programming (ILP) problem. Our approach proposes an evolutionary algorithm and tests it on real-world railway incident management data. The proposed method outperforms the baseline, where weights are equally distributed. Thus, the algorithm shows the capability to learn weights in future applications based on the priorities of employees solving railway incidents which is not yet possible due to an insufficient availability of real-life data from incident management. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10339298&tag=1
Keywords
Subject (DDC)
330 - Wirtschaft
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ISBN
ISSN
2169-3536
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Gold
License
'https://creativecommons.org/licenses/by-nc-nd/4.0/'
Citation
GACHNANG, Phillip, Joachim EHRENTHAL, Rainer TELESKO und Thomas HANNE, 2023. Determination of weights for multiobjective combinatorial optimization in incident management with an evolutionary algorithm. IEEE Access. 2023. Bd. 11, S. 138502–138514. DOI 10.1109/ACCESS.2023.3339128. Verfügbar unter: https://doi.org/10.26041/fhnw-7472