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A Memetic Algorithm for the Team Orienteering Problem

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Business and Consumer Analytics: New Ideas

Abstract

The Team Orienteering Problem (TOP) is an expansion of the orienteering problem. The problem’s data is a set of nodes and each node is associated with a score value. The goal of the TOP is to construct a discrete number of routes in order to visit the nodes and collect their scores aiming to maximize the total collected score with respect to a total travel time constraint. In this paper we propose a Memetic algorithm with Similarity Operator (\(\operatorname {MSO-TOP}\)) for solving the TOP. The concept of the “similarity operator” is that feasible sub-routes of the solutions are serving as chromosomes. The efficacy of \(\operatorname {MSO-TOP}\) was tested using the known benchmark instances for the TOP. From the experiments it was concluded that “similarity operator” is a promising technique and \(\operatorname {MSO-TOP}\) produces quality solutions.

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Authors and Affiliations

  1. Technical University of Crete, School of Production Engineering and Management, Chania, Greece

    Dimitra Trachanatzi, Eleftherios Tsakirakis, Magdalene Marinaki, Yannis Marinakis & Nikolaos Matsatsinis

Authors
  1. Dimitra Trachanatzi
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  2. Eleftherios Tsakirakis
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  3. Magdalene Marinaki
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  4. Yannis Marinakis
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  5. Nikolaos Matsatsinis
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Corresponding author

Correspondence to Yannis Marinakis .

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Editors and Affiliations

  1. School of Electrical Engineering and Computing, The University of Newcastle, Callaghan, NSW, Australia

    Pablo Moscato

  2. School of Electrical Engineering and Computing, The University of Newcastle, Callaghan, NSW, Australia

    Natalie Jane de Vries

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Trachanatzi, D., Tsakirakis, E., Marinaki, M., Marinakis, Y., Matsatsinis, N. (2019). A Memetic Algorithm for the Team Orienteering Problem. In: Moscato, P., de Vries, N. (eds) Business and Consumer Analytics: New Ideas. Springer, Cham. https://doi.org/10.1007/978-3-030-06222-4_14

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  • DOI: https://doi.org/10.1007/978-3-030-06222-4_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-06221-7

  • Online ISBN: 978-3-030-06222-4

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