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Cluster-Based Heuristics for the Team Orienteering Problem with Time Windows

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Experimental Algorithms (SEA 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7933))

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Abstract

The Team Orienteering Problem with Time Windows (TOPTW) deals with deriving a number of tours comprising a subset of candidate nodes (each associated with a “profit” value and a visiting time window) so as to maximize the overall “profit”, while respecting a specified time span. TOPTW has been used as a reference model for the Tourist Trip Design Problem (TTDP) in order to derive near-optimal multiple-day tours for tourists visiting a destination featuring several points of interest (POIs), taking into account a multitude of POI attributes. TOPTW is an NP-hard problem and the most efficient known heuristic is based on Iterated Local Search (ILS). However, ILS treats each POI separately; hence it tends to overlook highly profitable areas of POIs situated far from the current location, considering them too time-expensive to visit. We propose two cluster-based extensions to ILS addressing the aforementioned weakness by grouping POIs on disjoint clusters (based on geographical criteria), thereby making visits to such POIs more attractive. Our approaches improve on ILS with respect to solutions quality, while executing at comparable time and reducing the frequency of overly long transfers among POIs.

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Author information

Authors and Affiliations

  1. Department of Cultural Technology and Communication, University of the Aegean, Mytilene, Greece

    Damianos Gavalas

  2. Department of Informatics, University of Piraeus, Piraeus, Greece

    Charalampos Konstantopoulos & Yiannis Tasoulas

  3. Department of Mathematics, University of Athens, Athens, Greece

    Konstantinos Mastakas

  4. Department of Informatics, Technological Educational Institution of Athens, Athens, Greece

    Grammati Pantziou

Authors
  1. Damianos Gavalas
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  2. Charalampos Konstantopoulos
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  3. Konstantinos Mastakas
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  4. Grammati Pantziou
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  5. Yiannis Tasoulas
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Editor information

Editors and Affiliations

  1. Institute for Systems Analysis and Computer Science (IASI), National Research Council (CNR), Viale Manzoni 30, 00185, Rome, Italy

    Vincenzo Bonifaci

  2. Department of Computer and Systems Science, Sapienza University of Rome, Via Ariosto 25, 00185, Rome, Italy

    Camil Demetrescu  & Alberto Marchetti-Spaccamela  & 

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© 2013 Springer-Verlag Berlin Heidelberg

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Gavalas, D., Konstantopoulos, C., Mastakas, K., Pantziou, G., Tasoulas, Y. (2013). Cluster-Based Heuristics for the Team Orienteering Problem with Time Windows. In: Bonifaci, V., Demetrescu, C., Marchetti-Spaccamela, A. (eds) Experimental Algorithms. SEA 2013. Lecture Notes in Computer Science, vol 7933. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38527-8_34

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  • DOI: https://doi.org/10.1007/978-3-642-38527-8_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38526-1

  • Online ISBN: 978-3-642-38527-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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