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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/138617
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dc.contributor.authorWu, J.-
dc.contributor.authorWagner, M.-
dc.contributor.authorPolyakovskiy, S.-
dc.contributor.authorNeumann, F.-
dc.contributor.editorShi, Y.-
dc.contributor.editorTan, K.C.-
dc.contributor.editorZhang, M.-
dc.contributor.editorTang, K.-
dc.contributor.editorLi, X.-
dc.contributor.editorZhang, Q.-
dc.contributor.editorTan, Y.-
dc.contributor.editorMiddendorf, M.-
dc.contributor.editorJin, Y.-
dc.date.issued2017-
dc.identifier.citationLecture Notes in Artificial Intelligence, 2017 / Shi, Y., Tan, K.C., Zhang, M., Tang, K., Li, X., Zhang, Q., Tan, Y., Middendorf, M., Jin, Y. (ed./s), vol.10593, pp.110-121-
dc.identifier.isbn9783319687582-
dc.identifier.issn0302-9743-
dc.identifier.issn1611-3349-
dc.identifier.urihttps://hdl.handle.net/2440/138617-
dc.description.abstractMany evolutionary and constructive heuristic approaches have been introduced in order to solve the Travelling Thief Problem (TTP). However, the accuracy of such approaches is unknown due to their inability to find global optima. In this paper, we propose three exact algorithms and a hybrid approach to the TTP. We compare these with state-of-the-art approaches to gather a comprehensive overview on the accuracy of heuristic methods for solving small TTP instances.-
dc.description.statementofresponsibilityJunhua Wu, Markus Wagner, Sergey Polyakovskiy, and Frank Neumann-
dc.language.isoen-
dc.publisherSpringer-
dc.relation.ispartofseriesLecture Notes in Computer Science; 10593-
dc.rights© Springer International Publishing AG 2017-
dc.source.urihttps://link.springer.com/book/10.1007/978-3-319-68759-9-
dc.titleExact approaches for the travelling thief problem-
dc.typeConference paper-
dc.contributor.conference11th International Conference on Simulated Evolution and Learning (SEAL) (10 Nov 2017 - 13 Nov 2017 : Shenzhen, China)-
dc.identifier.doi10.1007/978-3-319-68759-9_10-
dc.publisher.placeCham, Switzerland-
dc.relation.granthttp://purl.org/au-research/grants/arc/DP130104395-
dc.relation.granthttp://purl.org/au-research/grants/arc/DE160100850-
pubs.publication-statusPublished-
dc.identifier.orcidWagner, M. [0000-0002-3124-0061]-
dc.identifier.orcidPolyakovskiy, S. [0000-0001-9489-1972]-
dc.identifier.orcidNeumann, F. [0000-0002-2721-3618]-
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