Matheuristics for optimizing the network in German wagonload traffic
In this paper, we consider a capacitated multiple allocation hub location problem derived from a practical application in network design of German wagonload traffic. Due to the difficulty to solve even small data sets to optimality, we present two matheuristics: a local search matheuristic and an ex...
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2017
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oai:doaj.org-article:31ca51014ea94a07877b392234e386a22021-12-02T05:01:02ZMatheuristics for optimizing the network in German wagonload traffic2192-440610.1007/s13675-016-0076-9https://doaj.org/article/31ca51014ea94a07877b392234e386a22017-09-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S219244062100085Xhttps://doaj.org/toc/2192-4406In this paper, we consider a capacitated multiple allocation hub location problem derived from a practical application in network design of German wagonload traffic. Due to the difficulty to solve even small data sets to optimality, we present two matheuristics: a local search matheuristic and an extension of an evolutionary algorithm matheuristic. Computational results are presented to demonstrate and compare the efficiency of both approaches for real-sized instances.Julia SenderThomas SiwczykPetra MutzelUwe ClausenElsevierarticle90-0890B0690B2090B1090C1190C59Applied mathematics. Quantitative methodsT57-57.97Electronic computers. Computer scienceQA75.5-76.95ENEURO Journal on Computational Optimization, Vol 5, Iss 3, Pp 367-392 (2017) |
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90-08 90B06 90B20 90B10 90C11 90C59 Applied mathematics. Quantitative methods T57-57.97 Electronic computers. Computer science QA75.5-76.95 |
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90-08 90B06 90B20 90B10 90C11 90C59 Applied mathematics. Quantitative methods T57-57.97 Electronic computers. Computer science QA75.5-76.95 Julia Sender Thomas Siwczyk Petra Mutzel Uwe Clausen Matheuristics for optimizing the network in German wagonload traffic |
description |
In this paper, we consider a capacitated multiple allocation hub location problem derived from a practical application in network design of German wagonload traffic. Due to the difficulty to solve even small data sets to optimality, we present two matheuristics: a local search matheuristic and an extension of an evolutionary algorithm matheuristic. Computational results are presented to demonstrate and compare the efficiency of both approaches for real-sized instances. |
format |
article |
author |
Julia Sender Thomas Siwczyk Petra Mutzel Uwe Clausen |
author_facet |
Julia Sender Thomas Siwczyk Petra Mutzel Uwe Clausen |
author_sort |
Julia Sender |
title |
Matheuristics for optimizing the network in German wagonload traffic |
title_short |
Matheuristics for optimizing the network in German wagonload traffic |
title_full |
Matheuristics for optimizing the network in German wagonload traffic |
title_fullStr |
Matheuristics for optimizing the network in German wagonload traffic |
title_full_unstemmed |
Matheuristics for optimizing the network in German wagonload traffic |
title_sort |
matheuristics for optimizing the network in german wagonload traffic |
publisher |
Elsevier |
publishDate |
2017 |
url |
https://doaj.org/article/31ca51014ea94a07877b392234e386a2 |
work_keys_str_mv |
AT juliasender matheuristicsforoptimizingthenetworkingermanwagonloadtraffic AT thomassiwczyk matheuristicsforoptimizingthenetworkingermanwagonloadtraffic AT petramutzel matheuristicsforoptimizingthenetworkingermanwagonloadtraffic AT uweclausen matheuristicsforoptimizingthenetworkingermanwagonloadtraffic |
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1718400821451816960 |